Nonlinear component analysis as a kernel eigenvalue problem

Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence

Gene functional classification from heterogeneous data

RECOMB '01 Proceedings of the fifth annual international conference on Computational biology

A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery

On a Connection between Kernel PCA and Metric Multidimensional Scaling

Machine Learning

Gene Selection for Cancer Classification using Support Vector Machines

Machine Learning

Training Invariant Support Vector Machines

Machine Learning

Kernel Nearest-Neighbor Algorithm

Neural Processing Letters

Principal Manifolds and Probabilistic Subspaces for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence

Support Vector Machines

IEEE Intelligent Systems

Orthogonal series density estimation and the kernel eigenvalue problem

Neural Computation

Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel fisher discriminant analysis

Neural Computation

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II

Spectral Partitioning with Indefinite Kernels Using the Nyström Extension

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III

On Utilising Template and Feature-Based Correspondence in Multi-view Appearance Models

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I

Deformation Analysis for Shape Based Classification

IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging

Towards Self-Exploring Discriminating Features

MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

Classifiers under Continuous Observations

Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

A Kernel Approach to Metric Multidimensional Scaling

Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes

AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Robust De-noising by Kernel PCA

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis

IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents

Metric Similarities Learning through Examples: An Application to Shape Retrieval

EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

Regularized Principal Manifolds

EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory

Recognizing Objects by Their Appearance Using Eigenimages

SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics

Fast Independent Component Analysis in Kernel Feature Spaces

SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics

Kernel Whitening for One-Class Classification

SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines

Support Vector Machine Ensemble with Bagging

SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines

On the Generalization of Kernel Machines

SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines

A Discriminative Segmental Speech Model and Its Application to Hungarian Number Recognition

TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue

Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application

CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns

Nonlinear Shape Statistics via Kernel Spaces

Proceedings of the 23rd DAGM-Symposium on Pattern Recognition

Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis

Proceedings of the 24th DAGM Symposium on Pattern Recognition

Making every bit count: fast nonlinear axis scaling

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Data visualisation and manifold mapping using the ViSOM

Neural Networks - New developments in self-organizing maps

Image denoising using self-organizing map-based nonlinear independent component analysis

Neural Networks - New developments in self-organizing maps

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

Kernel-based nonlinear blind source separation

Neural Computation

A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case

Neural Computation

Laplacian Eigenmaps for dimensionality reduction and data representation

Neural Computation

Automated derivation of behavior vocabularies for autonomous humanoid motion

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems

A short introduction to learning with kernels

Advanced lectures on machine learning

References

Intelligent data analysis

Regularized principal manifolds

The Journal of Machine Learning Research

Kernel partial least squares regression in reproducing kernel hilbert space

The Journal of Machine Learning Research

Kernel independent component analysis

The Journal of Machine Learning Research

Feature extraction by non parametric mutual information maximization

The Journal of Machine Learning Research

Feature learning with a genetic algorithm for fluorescence fingerprinting of plant species

Pattern Recognition Letters

Think globally, fit locally: unsupervised learning of low dimensional manifolds

The Journal of Machine Learning Research

Head Pose Estimation using Fisher Manifold Learning

AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures

Machine Learning for Computer Graphics: A Manifesto and Tutorial

PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications

Blind decomposition of multimodal evoked responses and DC fields

Exploratory analysis and data modeling in functional neuroimaging

Kernel VA-files for relevance feedback retrieva

MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases

Dimensionality Reduction Using Kernel Pooled Local Discriminant Information

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Optimal Cluster Preserving Embedding of Nonmetric Proximity Data

IEEE Transactions on Pattern Analysis and Machine Intelligence

Spectral Grouping Using the Nyström Method

IEEE Transactions on Pattern Analysis and Machine Intelligence

Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation

The Journal of Machine Learning Research

Multidimensional support vector machines for visualization of gene expression data

Proceedings of the 2004 ACM symposium on Applied computing

Kernel-based nonlinear discriminant analysis for face recognition

Journal of Computer Science and Technology

A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension

IEEE Transactions on Knowledge and Data Engineering

Shape variability and spatial relationships modeling in statistical pattern recognition

Pattern Recognition Letters

Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Twinned principal curves

Neural Networks

Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces

The Journal of Machine Learning Research

A modified algorithm for generalized discriminant analysis

Neural Computation

Semi-Supervised Learning on Riemannian Manifolds

Machine Learning

A tutorial on support vector regression

Statistics and Computing

Kernel k-means: spectral clustering and normalized cuts

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Learning a kernel matrix for nonlinear dimensionality reduction

ICML '04 Proceedings of the twenty-first international conference on Machine learning

A spatio-temporal extension to Isomap nonlinear dimension reduction

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Probabilistic tangent subspace: a unified view

ICML '04 Proceedings of the twenty-first international conference on Machine learning

A kernel view of the dimensionality reduction of manifolds

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Feature Discovery in Non-Metric Pairwise Data

The Journal of Machine Learning Research

On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence

KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods

IEEE Transactions on Pattern Analysis and Machine Intelligence

Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation

The Journal of Machine Learning Research

Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures

Neural Processing Letters

Recent advances in visual and infrared face recognition: a review

Computer Vision and Image Understanding

Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases

Multimedia Tools and Applications

Estimating manifold dimension by inversion error

Proceedings of the 2005 ACM symposium on Applied computing

Dimension Reduction-Based Penalized Logistic Regression for Cancer Classification Using Microarray Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Implicit, view invariant, linear flexible shape modelling

Pattern Recognition Letters - Special issue: Advances in pattern recognition

Multi-label informed latent semantic indexing

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Iterative Kernel Principal Component Analysis for Image Modeling

IEEE Transactions on Pattern Analysis and Machine Intelligence

Principal Surfaces from Unsupervised Kernel Regression

IEEE Transactions on Pattern Analysis and Machine Intelligence

An Improved Algorithm for Kernel Principal Component Analysis

Neural Processing Letters

An approach to spacecraft anomaly detection problem using kernel feature space

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

The equivalence of two-dimensional PCA to line-based PCA

Pattern Recognition Letters

Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA

Pattern Recognition Letters

Local principal curves

Statistics and Computing

Generalized Principal Component Analysis (GPCA)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Learning an image-word embedding for image auto-annotation on the nonlinear latent space

Proceedings of the 13th annual ACM international conference on Multimedia

Action respecting embedding

ICML '05 Proceedings of the 22nd international conference on Machine learning

A Bernoulli Relational Model for Nonlinear Embedding

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Incremental Nonlinear Dimensionality Reduction by Manifold Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Sparse Representation for Coarse and Fine Object Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Class-Incremental Generalized Discriminant Analysis

Neural Computation

A Robust Information Clustering Algorithm

Neural Computation

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

Neural Computation

An Expectation-Maximization Approach to Nonlinear Component Analysis

Neural Computation

2005 Special Issue: Generalized 2D principal component analysis for face image representation and recognition

Neural Networks - 2005 Special issue: IJCNN 2005

2005 Special Issue: Constructing Bayesian formulations of sparse kernel learning methods

Neural Networks - 2005 Special issue: IJCNN 2005

2005 Special Issue: Improving dimensionality reduction with spectral gradient descent

Neural Networks - 2005 Special issue: IJCNN 2005

Generalized Discriminant Analysis Using a Kernel Approach

Neural Computation

From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space

IEEE Transactions on Pattern Analysis and Machine Intelligence

Model-based transductive learning of the kernel matrix

Machine Learning

Unsupervised Learning of Image Manifolds by Semidefinite Programming

International Journal of Computer Vision

New Support Vector Algorithms

Neural Computation

Generating frontal view face image for pose invariant face recognition

Pattern Recognition Letters

Practical solutions to the problem of diagonal dominance in kernel document clustering

ICML '06 Proceedings of the 23rd international conference on Machine learning

Local distance preservation in the GP-LVM through back constraints

ICML '06 Proceedings of the 23rd international conference on Machine learning

Kernel information embeddings

ICML '06 Proceedings of the 23rd international conference on Machine learning

A duality view of spectral methods for dimensionality reduction

ICML '06 Proceedings of the 23rd international conference on Machine learning

Block-quantized kernel matrix for fast spectral embedding

ICML '06 Proceedings of the 23rd international conference on Machine learning

A robust classifier combined with an auto-associative network for completing partly occluded images

Neural Networks

Learning the unified kernel machines for classification

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Latent linkage semantic kernels for collective classification of link data

Journal of Intelligent Information Systems

Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields

Neural Computation

Kernel projection classifiers with suppressing features of other classes

Neural Computation

Machine learning for HIV-1 protease cleavage site prediction

Pattern Recognition Letters

Kernel Spectral Matched Filter for Hyperspectral Imagery

International Journal of Computer Vision

On the equivalence between kernel self-organising maps and self-organising mixture density networks

Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05

Multi-Output Regularized Feature Projection

IEEE Transactions on Knowledge and Data Engineering

Nonlocal Estimation of Manifold Structure

Neural Computation

Adaptive non-linear clustering in data streams

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management

Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models

The Journal of Machine Learning Research

Kernel Methods for Measuring Independence

The Journal of Machine Learning Research

On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning

The Journal of Machine Learning Research

Face recognition subject to variations in facial expression, illumination and pose using correlation filters

Computer Vision and Image Understanding

Some Equivalences between Kernel Methods and Information Theoretic Methods

Journal of VLSI Signal Processing Systems

A kernel PCA method for superior word sense disambiguation

ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

The theoretical analysis of GLRAM and its applications

Pattern Recognition

Robust kernel Isomap

Pattern Recognition

Kernel PCA for novelty detection

Pattern Recognition

Word sense disambiguation vs. statistical machine translation

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics

Semi-supervised training of a kernel PCA-based model for word sense disambiguation

COLING '04 Proceedings of the 20th international conference on Computational Linguistics

A fast kernel-based nonlinear discriminant analysis for multi-class problems

Pattern Recognition

Correspondence matching using kernel principal components analysis and label consistency constraints

Pattern Recognition

Spectral feature projections that maximize Shannon mutual information with class labels

Pattern Recognition

Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition

Pattern Recognition

Authenticating corrupted photo images based on noise parameter estimation

Pattern Recognition

On the information and representation of non-Euclidean pairwise data

Pattern Recognition

On solving the face recognition problem with one training sample per subject

Pattern Recognition

Handwritten Bangla numeral recognition system and its application to postal automation

Pattern Recognition

Face recognition using a kernel fractional-step discriminant analysis algorithm

Pattern Recognition

An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition

Pattern Recognition Letters

Kernel based symmetrical principal component analysis for face classification

Neurocomputing

Letters: A method for speeding up feature extraction based on KPCA

Neurocomputing

Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning

Pattern Recognition

Identification of contributing variables using kernel-based discriminant modeling and reconstruction

Expert Systems with Applications: An International Journal

Efficiently updating and tracking the dominant kernel principal components

Neural Networks

Kernel-based distance metric learning for content-based image retrieval

Image and Vision Computing

Locality preserving CCA with applications to data visualization and pose estimation

Image and Vision Computing

Classifying NIR spectra of textile products with kernel methods

Engineering Applications of Artificial Intelligence

Movement prediction from real-world images using a liquid state machine

Applied Intelligence

Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification

Computational Statistics & Data Analysis

Text classification: A least square support vector machine approach

Applied Soft Computing

Second-order cone programming formulations for robust multiclass classification

Neural Computation

A fast and effective method to find correlations among attributes in databases

Data Mining and Knowledge Discovery

A robust deterministic annealing algorithm for data clustering

Data & Knowledge Engineering

Neighborhood discriminant projection for face recognition

Pattern Recognition Letters

Fish age analysis and classification with kernel methods

Pattern Recognition Letters

Volume measure in 2DPCA-based face recognition

Pattern Recognition Letters

Feature selection for the SVM: An application to hypertension diagnosis

Expert Systems with Applications: An International Journal

Face recognition using spectral features

Pattern Recognition

Learning linear PCA with convex semi-definite programming

Pattern Recognition

Accurate Error Bounds for the Eigenvalues of the Kernel Matrix

The Journal of Machine Learning Research

On Representing and Generating Kernels by Fuzzy Equivalence Relations

The Journal of Machine Learning Research

Statistical Consistency of Kernel Canonical Correlation Analysis

The Journal of Machine Learning Research

Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

The Journal of Machine Learning Research

Interactive Semisupervised Learning for Microarray Analysis

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Sensitivity of PCA for traffic anomaly detection

Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems

Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics

IEEE Transactions on Pattern Analysis and Machine Intelligence

2007 Special Issue: Nonlinear principal component analysis of noisy data

Neural Networks

Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps

Proceedings of the 24th international conference on Machine learning

Online kernel PCA with entropic matrix updates

Proceedings of the 24th international conference on Machine learning

A dependence maximization view of clustering

Proceedings of the 24th international conference on Machine learning

A kernel-based causal learning algorithm

Proceedings of the 24th international conference on Machine learning

Map building without localization by dimensionality reduction techniques

Proceedings of the 24th international conference on Machine learning

Face and palmprint pixel level fusion and Kernel DCV-RBF classifier for small sample biometric recognition

Pattern Recognition

Letters: A reformative kernel Fisher discriminant algorithm and its application to face recognition

Neurocomputing

Letters: An alternative formulation of kernel LPP with application to image recognition

Neurocomputing

Letters: An optimal kernel feature extractor and its application to EEG signal classification

Neurocomputing

Denoising using local projective subspace methods

Neurocomputing

Blind separation of nonlinear mixtures by variational Bayesian learning

Digital Signal Processing

A survey of kernel and spectral methods for clustering

Pattern Recognition

Structured large margin machines: sensitive to data distributions

Machine Learning

A comparative analysis of kernel subspace target detectors for hyperspectral imagery

EURASIP Journal on Applied Signal Processing

3D head model retrieval in kernel feature space using HSOM

Pattern Recognition

Classification of breast masses via transformation of features using kernel principal component analysis

BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering

Robust fuzzy relational classifier incorporating the soft class labels

Pattern Recognition Letters

A two-stage head pose estimation framework and evaluation

Pattern Recognition

A comparison of generalized linear discriminant analysis algorithms

Pattern Recognition

Multimodal biometrics using geometry preserving projections

Pattern Recognition

Classification in an informative sample subspace

Pattern Recognition

Representing Images Using Nonorthogonal Haar-Like Bases

IEEE Transactions on Pattern Analysis and Machine Intelligence

Clustering and Embedding Using Commute Times

IEEE Transactions on Pattern Analysis and Machine Intelligence

Weighted Graph Cuts without Eigenvectors A Multilevel Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence

BM3E: Discriminative Density Propagation for Visual Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence

Mining competent case bases for case-based reasoning

Artificial Intelligence

Letters: An unified EM algorithm for PCA and KPCA

Neurocomputing

Kernel PCA for similarity invariant shape recognition

Neurocomputing

Semi-supervised learning by search of optimal target vector

Pattern Recognition Letters

Ranking with semi-supervised distance metric learning and its application to housing potential estimation

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Active learning for microarray data

International Journal of Approximate Reasoning

An orthogonally filtered tree classifier based on nonlinear kernel-based optimal representation of data

Expert Systems with Applications: An International Journal

Improved kernel principal component analysis for fault detection

Expert Systems with Applications: An International Journal

Efficient tracking of the dominant eigenspace of a normalized kernel matrix

Neural Computation

A two stage algorithm for face recognition: 2DPCA and within-class scatter minimization

SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications

Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier

SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications

Kernel quadratic discriminant analysis for small sample size problem

Pattern Recognition

Kernel class-wise locality preserving projection

Information Sciences: an International Journal

Kernel quadratic discriminant analysis for small sample size problem

Pattern Recognition

Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection

Artificial Intelligence in Medicine

A hybrid AANN-KPCA approach to sensor data validation

AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7

2008 Special Issue: On multidimensional scaling and the embedding of self-organising maps

Neural Networks

Incorporating prior knowledge in support vector machines for classification: A review

Neurocomputing

Batch kernel SOM and related Laplacian methods for social network analysis

Neurocomputing

Internet agents who structure concept formation using kernel self-organising maps

International Journal of Web Engineering and Technology

A method of illumination compensation for human face image based on quotient image

Information Sciences: an International Journal

A Direct Locality Preserving Projections (DLPP) Algorithm for Image Recognition

Neural Processing Letters

Noise reduction and edge detection via kernel anisotropic diffusion

Pattern Recognition Letters

Local vs global interactions in clustering algorithms: Advances over K-means

International Journal of Knowledge-based and Intelligent Engineering Systems

Wavelet support vector machine for induction machine fault diagnosis based on transient current signal

Expert Systems with Applications: An International Journal

KPCA denoising and the pre-image problem revisited

Digital Signal Processing

A new extension of kernel feature and its application for visual recognition

Neurocomputing

KPCA for semantic object extraction in images

Pattern Recognition

Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems

EURASIP Journal on Advances in Signal Processing

Semantic force relevance feedback, content-free 3D object retrieval and annotation propagation: bridging the gap and beyond

Multimedia Tools and Applications

Nearest hyperdisk methods for high-dimensional classification

Proceedings of the 25th international conference on Machine learning

Dirichlet component analysis: feature extraction for compositional data

Proceedings of the 25th international conference on Machine learning

Improved Nyström low-rank approximation and error analysis

Proceedings of the 25th international conference on Machine learning

Learning to rank with partially-labeled data

Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Linear-Time Computation of Similarity Measures for Sequential Data

The Journal of Machine Learning Research

DESIGN OF DECISION TREE VIA KERNELIZED HIERARCHICAL CLUSTERING FOR MULTICLASS SUPPORT VECTOR MACHINES

Cybernetics and Systems

Kernels, regularization and differential equations

Pattern Recognition

Feature extraction using constrained maximum variance mapping

Pattern Recognition

Adaptive quasiconformal kernel discriminant analysis

Neurocomputing

Selecting valuable training samples for SVMs via data structure analysis

Neurocomputing

Letters: A novel face recognition approach based on kernel discriminative common vectors (KDCV) feature extraction and RBF neural network

Neurocomputing

Semi-supervised sub-manifold discriminant analysis

Pattern Recognition Letters

Kernel maximum scatter difference based feature extraction and its application to face recognition

Pattern Recognition Letters

Locally linear discriminant embedding: An efficient method for face recognition

Pattern Recognition

A new local PCA-SOM algorithm

Neurocomputing

Gaussian processes for canonical correlation analysis

Neurocomputing

Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling

Fuzzy Sets and Systems

An overview on model-based approaches in face recognition

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases

The Condition of Kernelizing an Algorithm and an Equivalence Between Kernel Methods

IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I

Integrating KPCA and LS-SVM for Chaotic Time Series Forecasting Via Similarity Analysis

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks

Symmetry Based Two-Dimensional Principal Component Analysis for Face Recognition

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks

A Kernel-Based Two-Stage One-Class Support Vector Machines Algorithm

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

KPCA Plus FDA for Fault Detection

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

A Criterion for Learning the Data-Dependent Kernel for Classification

ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications

Hinge Rank Loss and the Area Under the ROC Curve

ECML '07 Proceedings of the 18th European conference on Machine Learning

Semi-definite Manifold Alignment

ECML '07 Proceedings of the 18th European conference on Machine Learning

Convergence Behavior of Competitive Repetition-Suppression Clustering

Neural Information Processing

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching

Neural Information Processing

Learning a Kernel Matrix for Time Series Data from DTW Distances

Neural Information Processing

Principal Geodesic Analysis for the Study of Nonlinear Minimum Description Length

Medical Imaging and Informatics

Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration

ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition

Feature Extraction Using Low-Rank Approximations of the Kernel Matrix

ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition

Modeling Stroke Diagnosis with the Use of Intelligent Techniques

SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications

The Integrated Methodology of KPCA and Wavelet Support Vector Machine for Predicting Financial Distress

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications

Metric Learning: A Support Vector Approach

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

Large-Scale Clustering through Functional Embedding

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

An Analysis of Research Themes in the CBR Conference Literature

ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning

A Novel Explicit 2D+t Cyclic Shape Model Applied to Echocardiography

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I

Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks

Nonlinear Principal Manifolds --- Adaptive Hybrid Learning Approaches

HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems

On Relevant Dimensions in Kernel Feature Spaces

The Journal of Machine Learning Research

A scalable kernel-based semisupervised metric learning algorithm with out-of-sample generalization ability

Neural Computation

Nonlinear clustering-based support vector machine for large data sets

Optimization Methods & Software - Mathematical programming in data mining and machine learning

Data description and noise filtering based detection with its application and performance comparison

Expert Systems with Applications: An International Journal

Dimensionality reduction for heterogeneous dataset in rushes editing

Pattern Recognition

Complete discriminant evaluation and feature extraction in kernel space for face recognition

Machine Vision and Applications

Facial age estimation by nonlinear aging pattern subspace

MM '08 Proceedings of the 16th ACM international conference on Multimedia

A novel approach to enable semantic and visual image summarization for exploratory image search

MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval

Extraction and recognition of nonlinear interval-type features using symbolic KDA algorithm with application to face recognition

Research Letters in Signal Processing

Kernel Based Approach for High Dimensional Heterogeneous Image Features Management in CBIR Context

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems

Face Recognition Using Symbolic KPCA Plus Symbolic LDA in the Framework of Symbolic Data Analysis: Symbolic Kernel Fisher Discriminant Method

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems

A new information theoretic analysis of sum-of-squared-error kernel clustering

Neurocomputing

Model optimizing and feature selecting for support vector regression in time series forecasting

Neurocomputing

Kernel least mean square algorithm with constrained growth

Signal Processing

Improved kernel fisher discriminant analysis for fault diagnosis

Expert Systems with Applications: An International Journal

Automatic target defect identification for TFT-LCD array process inspection using kernel FCM-based fuzzy SVDD ensemble

Expert Systems with Applications: An International Journal

A data mining-based subset selection for enhanced discrimination using iterative elimination of redundancy

Expert Systems with Applications: An International Journal

A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction

IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning

Gesture Recognition Based on Manifold Learning

SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Graph Classification Based on Dissimilarity Space Embedding

SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions

SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Density-weighted nyström method for computing large kernel eigensystems

Neural Computation

Weighted locally linear embedding for dimension reduction

Pattern Recognition

An efficient discriminant-based solution for small sample size problem

Pattern Recognition

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine

Expert Systems with Applications: An International Journal

Accuracy of suboptimal solutions to kernel principal component analysis

Computational Optimization and Applications

Identity Management in Face Recognition Systems

Biometrics and Identity Management

Local Image Descriptors Using Supervised Kernel ICA

PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology

Stray Example Sheltering by Loss Regularized SVM and kNN Preprocessor

Neural Processing Letters

Dealing with non-metric dissimilarities in fuzzy central clustering algorithms

International Journal of Approximate Reasoning

Kernel based nonlinear dimensionality reduction for microarray gene expression data analysis

Expert Systems with Applications: An International Journal

A reproducing kernel hilbert space framework for spike train signal processing

Neural Computation

Gabor-Based Kernel Partial-Least-Squares Discrimination Features for Face Recognition

Informatica

Linear manifold topographic map formation based on an energy function with on-line adaptation rules

Neurocomputing

Quality assessment of dimensionality reduction: Rank-based criteria

Neurocomputing

Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity

Neurocomputing

Feature extraction using Radon and wavelet transforms with application to face recognition

Neurocomputing

Expansive competitive learning for kernel vector quantization

Pattern Recognition Letters

Gaussian kernel optimization for pattern classification

Pattern Recognition

Fusion-Based Age-Group Classification Method Using Multiple Two-Dimensional Feature Extraction Algorithms

IEICE - Transactions on Information and Systems

A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition

IEICE - Transactions on Information and Systems

Kernel TV-Based Quotient Image Employing Gabor Analysis and Its Application to Face Recognition

IEICE - Transactions on Information and Systems

Local Subspace Classifier with Transform-Invariance for Image Classification

IEICE - Transactions on Information and Systems

Specific and Class Object Recognition for Service Robots through Autonomous and Interactive Methods

IEICE - Transactions on Information and Systems

Multiresolution features and polynomial kernel subspace approach for isolated word recognition

Proceedings of the International Conference on Advances in Computing, Communication and Control

Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification

Emerging Trends in Visual Computing

Face Recognition with Biologically Motivated Boosted Features

Cognitive Vision

Oja's algorithm for graph clustering and Markov spectral decomposition

Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools

Fuzzy connectivity clustering with radial basis kernel functions

Fuzzy Sets and Systems

Approximate kernel matrix computation on GPUs forlarge scale learning applications

Proceedings of the 23rd international conference on Supercomputing

Nonlinear process monitoring based on maximum variance unfolding projections

Expert Systems with Applications: An International Journal

ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data

Engineering Applications of Artificial Intelligence

Direct kernel neighborhood discriminant analysis for face recognition

Pattern Recognition Letters

A low complexity robust detector in impulsive noise

Signal Processing

Covariance estimation in full- and reduced-dimensionality image classification

Image and Vision Computing

Information Maximization in a Linear Manifold Topographic Map

Neural Processing Letters

Polarization Radar HRRP Recognition Based on Kernel Methods

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II

Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III

marginFace: A novel face recognition method by average neighborhood margin maximization

Pattern Recognition

Face recognition across pose: A review

Pattern Recognition

A hybrid novelty score and its use in keystroke dynamics-based user authentication

Pattern Recognition

ViSOM for Dimensionality Reduction in Face Recognition

WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps

Towards Semi-supervised Manifold Learning: UKR with Structural Hints

WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps

Automatic detection of breast cancers in mammograms using structured support vector machines

Neurocomputing

Network Protocol Verification by a Classifier Selection Ensemble

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

A Novel Technique for Human Face Recognition Using Nonlinear Curvelet Feature Subspace

ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition

Face Verification Using Colour Kernels

ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition

A survey of computer systems for expressive music performance

ACM Computing Surveys (CSUR)

2009 Special Issue: Subspace-based support vector machines for pattern classification

Neural Networks

2009 Special Issue: RKF-PCA: Robust kernel fuzzy PCA

Neural Networks

Applying alternating structure optimization to word sense disambiguation

CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning

A direct evolutionary feature extraction algorithm for classifying high dimensional data

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Image Segmentation Using Graph Representations and Local Appearance and Shape Models

GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition

Kernel Based Subspace Projection of Near Infrared Hyperspectral Images of Maize Kernels

SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis

Kernel Entropy Component Analysis Pre-images for Pattern Denoising

SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis

Kernel principal component analysis for the classification of hyperspectral remote sensing data over urban areas

EURASIP Journal on Advances in Signal Processing

Neural projection techniques for the visual inspection of network traffic

Neurocomputing

A novel kernel-based maximum a posteriori classification method

Neural Networks

Sequential nonlinear manifold learning

Intelligent Data Analysis

Making Archetypal Analysis Practical

Proceedings of the 31st DAGM Symposium on Pattern Recognition

Face Recognition Using ALLE and SIFT for Human Robot Interaction

Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics

An incremental dimensionality reduction method on discriminant information for pattern classification

Pattern Recognition Letters

Competence driven case-base mining

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1

Boosting kernel discriminant analysis and its application to tissue classification of gene expression data

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

A scalable kernel-based algorithm for semi-supervised metric learning

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Data clustering: principal components, Hopfield and self-aggregation networks

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Identification of non linear MISO process using RKHS and Volterra models

WSEAS TRANSACTIONS on SYSTEMS

Modelling of a SISO and MIMO non linear communication channel using two modelling techniques

WSEAS Transactions on Circuits and Systems

Info-margin maximization for feature extraction

Pattern Recognition Letters

Robust kernel principal component analysis

Neural Computation

JustClick: personalized image recommendation via exploratory search from large-scale Flickr images

IEEE Transactions on Circuits and Systems for Video Technology

Unsupervised dimensionality estimation and manifold learning in high-dimensional spaces by tensor voting

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Kernel based subspace methods: infrared vs visible face

Machine Graphics & Vision International Journal

2009 Special Issue: Improving BCI performance by task-related trial pruning

Neural Networks

Kernel latent semantic analysis using an information retrieval based kernel

Proceedings of the 18th ACM conference on Information and knowledge management

Proximal support vector machine using local information

Neurocomputing

Online prediction of time series data with kernels

IEEE Transactions on Signal Processing

Extended kernel recursive least squares algorithm

IEEE Transactions on Signal Processing

Efficient band approximation of Gram matrices for large scale kernel methods on GPUs

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis

Novel multiclass classifiers based on the minimization of the within-class variance

IEEE Transactions on Neural Networks

The global kernel k-means algorithm for clustering in feature space

IEEE Transactions on Neural Networks

Learning Deep Architectures for AI

Foundations and Trends® in Machine Learning

Clustering: A neural network approach

Neural Networks

An MRF-based kernel method for nonlinear feature extraction

Image and Vision Computing

Domain adaptation via transfer component analysis

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence

Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study

Fuzzy Sets and Systems

Simbed: Similarity-Based Embedding

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II

Tuning Kernel Parameters with Different Gabor Features for Face Recognition

ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

ICA Based on KPCA and Hierarchical RBF Network for Face Recognition

ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

Fault Condition Recognition Based on PSO and KPCA

ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II

Kernel Approaches to Unsupervised and Supervised Machine Learning

PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing

Refining image retrieval using one-class classification

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo

Face recognition with info-margin maximization

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo

Intrinsic dimensionality estimation and dimensionality reduction through scale space filtering

DSP'09 Proceedings of the 16th international conference on Digital Signal Processing

Extracting nonlinear features for multispectral images by FCMC and KPCA

Digital Signal Processing

Batch linear manifold topographic map with regional dimensionality estimation

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Matrix-based kernel principal component analysis for large-scale data set

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Subspace based least squares support vector machines for pattern classification

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Sparse kernel feature analysis using FastMap and its variants

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Robust kernel PCA using fuzzy membership

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

On speeding up computation in information theoretic learning

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Dimensionality reduction by self organizing maps that preserve distances in output space

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

On support vector regression machines with linguistic interpretation of the kernel matrix

Fuzzy Sets and Systems

A two stage algorithm for face recognition: 2DPCA and within-class scatter minimization

SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications

Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier

SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications

3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers

International Journal of Computer Vision

Enhanced batch process monitoring using Kalman filter and multiway Kernel principal component analysis

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference

Document categorization algorithm based on kernel NPE

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference

Fuzzy SVM for noisy data: a robust membership calculation method

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems

An advanced hybrid machine learning approach for assessment of the change of gait symmetry

WSEAS Transactions on Computers

Generalized discriminant analysis: a matrix exponential approach

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Adaptive kernel principal component analysis

Signal Processing

A general kernelization framework for learning algorithms based on kernel PCA

Neurocomputing

Photo-sketch synthesis and recognition based on subspace learning

Neurocomputing

Fuzzy clustering with weighted medoids for relational data

Pattern Recognition

Multiclass detection of cells in multicontrast composite images

Computers in Biology and Medicine

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications

International Journal of Approximate Reasoning

Letter: Weighted maximum margin discriminant analysis with kernels

Neurocomputing

Subset based least squares subspace regression in RKHS

Neurocomputing

A unified SWSI-KAMs framework and performance evaluation on face recognition

Neurocomputing

Letters: Robust kernel discriminant analysis and its application to feature extraction and recognition

Neurocomputing

Letters: A new nonlinear feature extraction method for face recognition

Neurocomputing

Rapid and brief communications: Kernel direct discriminant analysis and its theoretical foundation

Pattern Recognition

Self-supervised learning based on discriminative nonlinear features for image classification

Pattern Recognition

Visual object recognition using probabilistic kernel subspace similarity

Pattern Recognition

Automatic model selection for the optimization of SVM kernels

Pattern Recognition

SVM decision boundary based discriminative subspace induction

Pattern Recognition

Rapid and brief communication: Kernel ICA: An alternative formulation and its application to face recognition

Pattern Recognition

Unsupervised Object Discovery: A Comparison

International Journal of Computer Vision

Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach

Neurocomputing

Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

Pattern Recognition

A performance driven methodology for cancelable face templates generation

Pattern Recognition

2010 Special Issue: Understanding neurodynamical systems via Fuzzy Symbolic Dynamics

Neural Networks

Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications

Signal Processing

Data clustering: 50 years beyond K-means

Pattern Recognition Letters

Reproducing Kernel Banach Spaces for Machine Learning

The Journal of Machine Learning Research

Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting

The Journal of Machine Learning Research

Approximate Tree Kernels

The Journal of Machine Learning Research

Cross system personalization and collaborative filtering by learning manifold alignments

KI'06 Proceedings of the 29th annual German conference on Artificial intelligence

Sparse Kernel PCA by Kernel K-means and preimage reconstruction algorithms

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence

Non-linear dimensionality reduction procedures for certain large-dimensional multi-objective optimization problems: employing correntropy and a novel maximum variance unfolding

EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization

Supervised classification with associative SOM

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1

Relevance and kernel self-organising maps

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Comparison of combining methods of correlation Kernels in kPCA and kCCA for texture classification with Kansei information

SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis

Fuzzy PCA-guided robust k-means clustering

IEEE Transactions on Fuzzy Systems

Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views

International Journal of Computer Vision

A unified framework of subspace and distance metric learning for face recognition

AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures

The kernel orthogonal mutual subspace method and its application to 3D object recognition

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II

Kernel discriminant analysis based on canonical differences for face recognition in image sets

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II

Kernel-based nonlinear independent component analysis

ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation

Stochastic weights reinforcement learning for exploratory data analysis

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Spectral measures for kernel matrices comparison

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Fuzzy classifiers based on kernel discriminant analysis

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Global and local preserving feature extraction for image categorization

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Recognition of household objects by service robots through interactive and autonomous methods

ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II

Joint diagonalization of kernels for information fusion

CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications

A novel approach for filtering junk images from google search results

MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling

Sparse kernel-based feature weighting

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

On minimum class locality preserving variance support vector machine

Pattern Recognition

Kernel-based nonlinear discriminant analysis using minimum squared errors criterion for multiclass and undersampled problems

Signal Processing

Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture

Signal Processing

A modification of kernel discriminant analysis for high-dimensional data-with application to face recognition

Signal Processing

On-line versus off-line accelerated kernel feature analysis: Application to computer-aided detection of polyps in CT colonography

Signal Processing

Ensemble classifiers based on kernel PCA for cancer data classification

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications

Nonlinear dimensionality reduction for face recognition

IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning

Learning with kernels and logical representations

Probabilistic inductive logic programming

Online classification algorithm for data streams based on fast iterative Kernel principal component analysis

ICNC'09 Proceedings of the 5th international conference on Natural computation

Condition assessment of power supply equipment based on Kernel principal component analysis and multi-class support vector machine

ICNC'09 Proceedings of the 5th international conference on Natural computation

Semi-supervised Gaussian process latent variable model with pairwise constraints

Neurocomputing

Unifying perceptual and behavioral learning with a correlative subspace learning rule

Neurocomputing

Principal component analysis based on non-parametric maximum entropy

Neurocomputing

Adaptive nonlinear manifolds and their applications to pattern recognition

Information Sciences: an International Journal

Approximations of the standard principal components analysis and kernel PCA

Expert Systems with Applications: An International Journal

Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines

Fundamenta Informaticae - Intelligent Data Analysis in Granular Computing

3D CAD model matching from 2D local invariant features

Computers in Industry

Privacy-preserving support vector machine classification

International Journal of Intelligent Information and Database Systems

Improved wavelet feature extraction using kernel analysis for text independent speaker recognition

Digital Signal Processing

Scene alignment by SIFT flow for video summarization

ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing

Kernel covariance image region description for object tracking

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Multiple kernel maximum margin criterion

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Multi-view object matching and tracking using canonical correlation analysis

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Linear and nonlinear dimensionality reduction for face recognition

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Kernel methods in orthogonalization of multi- and hypervariate data

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Combining KPCA and LSSVM for HVAC fan machinery fault recognition

ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics

Nonlinear non-negative component analysis algorithms

IEEE Transactions on Image Processing

Effective level set image segmentation with a kernel induced data term

IEEE Transactions on Image Processing

Relevance units latent variable model and nonlinear dimensionality reduction

IEEE Transactions on Neural Networks

A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors

IEEE Transactions on Neural Networks

Penalized preimage learning in kernel principal component analysis

IEEE Transactions on Neural Networks

Generalized re-weighting local sampling mean discriminant analysis

Pattern Recognition

SSPS: A Semi-Supervised Pattern Shift for Classification

Neural Processing Letters

Sparse approximation through boosting for learning large scale kernel machines

IEEE Transactions on Neural Networks

Intrusion Detection by Ellipsoid Boundary

Journal of Network and Systems Management

Polychotomous kernel Fisher discriminant via top-down induction of binary tree

Computers & Mathematics with Applications

Block-wise 2D kernel PCA/LDA for face recognition

Information Processing Letters

Dimension reduction by a novel unified scheme using divergence analysis and genetic search

Digital Signal Processing

Detecting influential observations in Kernel PCA

Computational Statistics & Data Analysis

Locality preserving discriminant projections for face and palmprint recognition

Neurocomputing

Nonnegative Principal Component Analysis for Cancer Molecular Pattern Discovery

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Supervised learning with kernel methods

WAMUS'10 Proceedings of the 10th WSEAS international conference on Wavelet analysis and multirate systems

Shape recognition based on Kernel-edit distance

Computer Vision and Image Understanding

Radar target recognition based on KLLE and a KNRD classifier

WSEAS Transactions on Signal Processing

Scale-independent quality criteria for dimensionality reduction

Pattern Recognition Letters

Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity

Pattern Recognition Letters

Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks

IEEE Transactions on Information Forensics and Security

Discriminative semi-supervised feature selection via manifold regularization

IEEE Transactions on Neural Networks

Tracking multiple workers on construction sites using video cameras

Advanced Engineering Informatics

Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

Computers and Electronics in Agriculture

Large-margin classification in infinite neural networks

Neural Computation

A new approach for identification of MIMO non linear system with RKHS model

WSEAS Transactions on Information Science and Applications

Spectral sampling of manifolds

ACM SIGGRAPH Asia 2010 papers

Gene expression data classification using locally linear discriminant embedding

Computers in Biology and Medicine

Incremental embedding and learning in the local discriminant subspace with application to face recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Similarity preserving principal curve: an optimal 1-D feature extractor for data representation

IEEE Transactions on Neural Networks

Exploiting tag and word correlations for improved webpage clustering

SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents

A kernel-based parametric method for conditional density estimation

Pattern Recognition

Extraction of signals with specific temporal structure using kernel methods

IEEE Transactions on Signal Processing

Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic

Expert Systems with Applications: An International Journal

Semi-supervised ranking for document retrieval

Computer Speech and Language

Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches

Decision Support Systems

Face recognition using null space-based local discriminant embedding

ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II

Commute-time convolution kernels for graph clustering

SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition

An empirical comparison of Kernel-based and dissimilarity-based feature spaces

SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition

A unifying view of multiple kernel learning

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II

An incremental support vector machine-trained TS-type fuzzy system for online classification problems

Fuzzy Sets and Systems

Laplacian spectrum learning

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III

Robust kernel discriminant analysis using fuzzy memberships

Pattern Recognition

Non-local spatial spectral clustering for image segmentation

Neurocomputing

Automated nonlinear feature generation and classification of foot pressure lesions

IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare

Clustered Nyström method for large scale manifold learning and dimension reduction

IEEE Transactions on Neural Networks

Minimum effective dimension for mixtures of subspaces: a robust GPCA algorithm and its applications

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Names and faces in the news

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Unsupervised learning of image manifolds by semidefinite programming

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

A time-efficient pattern reduction algorithm for k-means clustering

Information Sciences: an International Journal

Edge detection in the feature space

Image and Vision Computing

Supervised relevance maps for increasing the distinctiveness of facial images

Pattern Recognition

Methodological improvement on local Gabor face recognition based on feature selection and enhanced Borda count

Pattern Recognition

A linear discriminant analysis method based on mutual information maximization

Pattern Recognition

Hybrid associative retrieval of three-dimensional models

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Kernel Wiener filter and its application to pattern recognition

IEEE Transactions on Neural Networks

A novel robust kernel for visual learning problems

Neurocomputing

Unsupervised feature extraction via kernel subspace techniques

Neurocomputing

3D point correspondence by minimum description length in feature space

ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III

A multifactor extension of linear discriminant analysis for face recognition under varying pose and illumination

EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications

Recent advances in graph-based pattern recognition with applications in document analysis

Pattern Recognition

Kernel feature selection to fuse multi-spectral MRI images for brain tumor segmentation

Computer Vision and Image Understanding

Quasi-objective nonlinear principal component analysis

Neural Networks

Computation of the complexity of vector quantizers by affine modeling

Signal Processing

Multiple view clustering using a weighted combination of exemplar-based mixture models

IEEE Transactions on Neural Networks

Graph embedding using constant shift embedding

ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos

Feature extraction using support vector machines

ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II

A novel fault diagnosis system using pattern classification on kernel FDA subspace

Expert Systems with Applications: An International Journal

A novel approach for analog fault diagnosis based on neural networks and improved kernel PCA

Neurocomputing

Gabor feature based face recognition using kernel methods

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Intra-personal kernel space for face recogni

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Authenticating corrupted face image based on noise model

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Performance evaluation of face recognition algorithms on Asian face database

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Modeling face appearance with nonlinear independent component analysis

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach

The Journal of Machine Learning Research

Geometric representations of language taxonomies

Computer Speech and Language

Bayesian kernel projections for classification of high dimensional data

Statistics and Computing

APSCAN: A parameter free algorithm for clustering

Pattern Recognition Letters

Kernel discriminant transformation for image set-based face recognition

Pattern Recognition

Fuzzy C-means based clustering for linearly and nonlinearly separable data

Pattern Recognition

Letters: Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space

Neurocomputing

Generalized principal component analysis (GPCA)

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition

Randomised manifold forests for principal angle-based face recognition

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV

Correntropy function for fundamental frequency determination of musical instrument samples

Expert Systems with Applications: An International Journal

Online dimensionality reduction using competitive learning and Radial Basis Function network

Neural Networks

An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making

Decision Support Systems

Learning Linear and Nonlinear PCA with Linear Programming

Neural Processing Letters

Kernel-based algorithm for clustering spatial data

ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science

Multi-sensor image fusion for effective night vision through contourlet transform and KPCA and mutual information

WAMUS'06 Proceedings of the 6th WSEAS international conference on Wavelet analysis & multirate systems

Support vector machines using Bayesian-based approach in the issue of unbalanced classifications

Expert Systems with Applications: An International Journal

A kernel prototype-based clustering algorithm

ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers

Finding pre-images via evolution strategies

Applied Soft Computing

A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets

Artificial Intelligence in Medicine

An experimental evaluation of linear and kernel-based classifiers for face recognition

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

Improved realtime intrusion detection system

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Gear crack detection using kernel function approximation

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Unsupervised kernel least mean square algorithm for solving ordinary differential equations

Neurocomputing

Nonlinear dimensionality reduction using a temporal coherence principle

Information Sciences: an International Journal

Improving vector space embedding of graphs through feature selection algorithms

Pattern Recognition

A recognition and novelty detection approach based on Curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis

Expert Systems with Applications: An International Journal

ASAP: automatic semantics-aware analysis of network payloads

PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning

Front end analysis of speech recognition: a review

International Journal of Speech Technology

Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction

Neural Processing Letters

Nonlinear nonnegative matrix factorization based on Mercer kernel construction

Pattern Recognition

Transfer latent variable model based on divergence analysis

Pattern Recognition

On the equivalence of Kernel Fisher discriminant analysis and Kernel Quadratic Programming Feature Selection

Pattern Recognition Letters

Semi-supervised kernel canonical correlation analysis with application to human fMRI

Pattern Recognition Letters

Gas sensor drift mitigation using classifier ensembles

Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data

Dimensionality reduction for graph of words embedding

GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition

COD Prediction for SBR batch processes based on MKPCA and LSSVM method

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II

A novel ant-based clustering algorithm using the kernel method

Information Sciences: an International Journal

Kernel principal component analysis for stochastic input model generation

Journal of Computational Physics

Improved Spectral Hashing

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I

Approximate kernel k-means: solution to large scale kernel clustering

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

lp-Norm Multiple Kernel Learning

The Journal of Machine Learning Research

Locally Defined Principal Curves and Surfaces

The Journal of Machine Learning Research

A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis

The Journal of Machine Learning Research

Local feature based tensor kernel for image manifold learning

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II

Kernel fusion of audio and visual information for emotion recognition

ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II

Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis

Engineering Applications of Artificial Intelligence

Regularized sparse Kernel slow feature analysis

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I

PERTURBO: a new classification algorithm based on the spectrum perturbations of the Laplace-Beltrami operator

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I

Face Recognition Using Kernel UDP

Neural Processing Letters

Operators for transforming kernels into quasi-local kernels that improve SVM accuracy

Journal of Intelligent Information Systems

Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra

Expert Systems with Applications: An International Journal

Novel approaches for synthesizing video textures

Expert Systems with Applications: An International Journal

A classifier for Bangla handwritten numeral recognition

Expert Systems with Applications: An International Journal

Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring

Computers and Industrial Engineering

Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA

Pattern Recognition Letters

An iterative algorithm for robust kernel principal component analysis

Neurocomputing

Column subset selection for active learning in image classification

Neurocomputing

Spectral clustering of ROIs for object discovery

DAGM'11 Proceedings of the 33rd international conference on Pattern recognition

Centered subset kernel PCA for denoising

ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II

On the behavior of kernel mutual subspace method

ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II

Multiple classifiers for graph of words embedding

MCS'11 Proceedings of the 10th international conference on Multiple classifier systems

Kernel PCA in application to leakage detection in drinking water distribution system

ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I

3D active shape model segmentation with nonlinear shape priors

MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Numerical evaluation of clustering methods with kernel PCA

ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology

Dynamic texture modeling applied on computer vision based fire recognition

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III

An improvement to matrix-based LDA

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III

Automated cephalometric landmark localization using sparse shape and appearance models

MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging

A visualization metric for dimensionality reduction

Expert Systems with Applications: An International Journal

Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI

Pattern Recognition Letters

TAKES: a fast method to select features in the kernel space

Proceedings of the 20th ACM international conference on Information and knowledge management

Three-dimensional modular discriminant analysis (3DMDA): A new feature extraction approach for face recognition

Computers and Electrical Engineering

Novelty detection for the inspection of light-emitting diodes

Expert Systems with Applications: An International Journal

Kernel-based weighted discriminant analysis with QR decomposition and its application to face recognition

WSEAS Transactions on Mathematics

Kernel sparse representation based classification

Neurocomputing

A Closed-form Solution for the Pre-image Problem in Kernel-based Machines

Journal of Signal Processing Systems

Regularized Pre-image Estimation for Kernel PCA De-noising

Journal of Signal Processing Systems

A Comparative Study of Palmprint Recognition Algorithms

ACM Computing Surveys (CSUR)

Time-aware co-training for indoors localization in visual lifelogs

MM '11 Proceedings of the 19th ACM international conference on Multimedia

Face recognition using difference vector plus KPCA

Digital Signal Processing

KPCA vs. PCA study for an age classification of speakers

NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing

Kernel-based feature extraction under maximum margin criterion

Journal of Visual Communication and Image Representation

Linear and kernel methods for multivariate change detection

Computers & Geosciences

Kernel Analysis of Deep Networks

The Journal of Machine Learning Research

Efficient and Effective Visual Codebook Generation Using Additive Kernels

The Journal of Machine Learning Research

A Fast Algorithm for Updating and Downsizing the Dominant Kernel Principal Components

SIAM Journal on Matrix Analysis and Applications

GA-driven LDA in KPCA space for facial expression recognition

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II

Face recognition based on PCA/KPCA plus CCA

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II

Kernel PCA based network intrusion feature extraction and detection using SVM

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II

Missing data estimation using polynomial kernels

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I

Exploiting low-level image segmentation for object recognition

DAGM'06 Proceedings of the 28th conference on Pattern Recognition

Parameterless isomap with adaptive neighborhood selection

DAGM'06 Proceedings of the 28th conference on Pattern Recognition

Weighted principal component extraction with genetic algorithms

Applied Soft Computing

A novel neural-network approach of analog fault diagnosis based on kernel discriminant analysis and particle swarm optimization

Applied Soft Computing

Secure personnel authentication based on multi-modal biometrics under ubiquitous environments

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Extraction of discriminative manifold for face recognition

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

A novel model for gabor-based independent radial basis function neural networks and its application to face recognition

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Egomotion estimation as an appearance-based classification problem

CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications

Clustering pairwise distances with missing data: maximum cuts versus normalized cuts

DS'06 Proceedings of the 9th international conference on Discovery Science

A robust realtime surveillance system

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Graph embedding using commute time

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

On optimizing kernel-based fisher discriminant analysis using prototype reduction schemes

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Recognizing face or object from a single image: linear vs. kernel methods on 2d patterns

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

The sphere-concatenate method for gaussian process canonical correlation analysis

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Improved kernel based intrusion detection system

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Learning manifolds in forensic data

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Radar high range resolution profiles feature extraction based on kernel PCA and kernel ICA

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

Languages as hyperplanes: grammatical inference with string kernels

ECML'06 Proceedings of the 17th European conference on Machine Learning

Face detection using kernel PCA and imbalanced SVM

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

Kernel-Based method for automated walking patterns recognition using kinematics data

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II

Face recognition using heteroscedastic weighted kernel discriminant analysis

ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II

Feature selection based on KPCA, SVM and GSFS for face recognition

ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II

Robust multi-body motion tracking using commute time clustering

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I

Extending kernel fisher discriminant analysis with the weighted pairwise chernoff criterion

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV

Hidden space principal component analysis

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

An intelligent system based on kernel methods for crop yield prediction

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

Automatic facial expression recognition using linear and nonlinear holistic spatial analysis

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction

Sub-sampling for efficient spectral mesh processing

CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics

Kernel correlation filter based redundant class-dependence feature analysis (KCFA) on FRGC2.0 data

AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures

An integrated two-stage framework for robust head pose estimation

AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures

Two-dimensional non-negative matrix factorization for face representation and recognition

AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures

Machine learning approach to realtime intrusion detection system

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Active visual learning and recognition using incremental kernel PCA

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Feature-level fusion of hand biometrics for personal verification based on kernel PCA

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics

KDA plus KPCA for face recognition

ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II

Fault diagnosis for induction machines using kernel principal component analysis

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

On-Line nonlinear process monitoring using kernel principal component analysis and neural network

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

On-Line batch process monitoring using multiway kernel independent component analysis

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

Joint time-frequency and kernel principal component based SOM for machine maintenance

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

Supervised sparse representation method with a heuristic strategy and face recognition experiments

Neurocomputing

A new discriminant subspace analysis approach for multi-class problems

Pattern Recognition

Cohort-based kernel visualisation with scatter matrices

Pattern Recognition

Discover latent discriminant information for dimensionality reduction: Non-negative Sparseness Preserving Embedding

Pattern Recognition

Dimensionality reduction based on nonparametric discriminant analysis with kernels for feature extraction and recognition

Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

Sequential support vector machine classification for small-grain weed species discrimination with special regard to Cirsium arvense and Galium aparine

Computers and Electronics in Agriculture

Kernel discriminant analysis for regression problems

Pattern Recognition

Kernel principal component analysis for large scale data set

ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I

A fast feature extraction method for kernel 2DPCA

ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I

Multiple similarities based kernel subspace learning for image classification

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II

A framework for 3d object recognition using the kernel constrained mutual subspace method

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II

Kernel principal components are maximum entropy projections

ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation

Multi-scale support vector machine for regression estimation

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Improved locally linear embedding through new distance computing

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Feature extraction of underground nuclear explosions based on NMF and KNMF

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Content based image retrieval based on a nonlinear similarity model

ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I

Capturing contextual relationship for effective media search

Multimedia Tools and Applications

A smart identification card system using facial biometric: from architecture to application

UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing

Dynamic similarity kernel for visual recognition

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II

3D head model classification using KCDA

PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing

Generating different realistic humanoid motion

ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence

Learning the stylistic similarity between human motions

ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I

Using rotation forest for protein fold prediction problem: an empirical study

EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Face recognition using neighborhood preserving projections

PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II

Spectral kernels for classification

DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery

Generalized locally nearest neighbor classifiers for object classification

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Two-tier based intrusion detection system

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Consistency of support vector machines using additive kernels for additive models

Computational Statistics & Data Analysis

Fast manifold learning based on riemannian normal coordinates

SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis

Discriminant analysis based on kernelized decision boundary for face recognition

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication

Authenticating corrupted facial images on stand-alone DSP system

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication

Possibilistic approach to kernel-based fuzzy c-means clustering with entropy regularization

MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence

KFCSA: a novel clustering algorithm for high-dimension data

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I

A new learning algorithm based on lever principle

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Learning SVM kernel with semi-definite programming

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Nonlinear kernel MSE methods for cancer classification

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Embedding time series data for classification

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition

Approximating a gram matrix for improved kernel-based learning

COLT'05 Proceedings of the 18th annual conference on Learning Theory

Kernel spectral correspondence matching using label consistency constraints

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing

A robust graph partition method from the path-weighted adjacency matrix

GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition

Kernel principal component analysis for content based image retrieval

PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

Neighborhood preserving projections (NPP): a novel linear dimension reduction method

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

Low-Dimensional facial image representation using FLD and MDS

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

A supervised non-linear dimensionality reduction approach for manifold learning

Pattern Recognition

Fast neighborhood component analysis

Neurocomputing

An ensemble kernel classifier with immune clonal selection algorithm for automatic discriminant of primary open-angle glaucoma

Neurocomputing

Classifying faces with discriminant isometric feature mapping

MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence

Normalized kernels as similarity indices

PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II

Gabor-Kernel fisher analysis for face recognition

PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II

Recent advances in subspace analysis for face recognition

SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication

Selecting subspace dimensions for kernel-based nonlinear subspace classifiers using intelligent search methods

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

Learning to predict ice accretion on electric power lines

Engineering Applications of Artificial Intelligence

Derivation of an artificial gene to improve classification accuracy upon gene selection

Computational Biology and Chemistry

An improved kernel principal component analysis for large-scale data set

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II

Linear replicator in kernel space

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II

Facial expression recognition method based on gabor wavelet features and fractional power polynomial kernel PCA

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II

Kernel independent component analysis and dynamic selective neural network ensemble for fault diagnosis of steam turbine

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II

A comparative study on multiscale fractal dimension descriptors

Pattern Recognition Letters

Improving feature space based image segmentation via density modification

Information Sciences: an International Journal

Anomaly internet network traffic detection by kernel principle component classifier

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III

The curse of dimensionality in data mining and time series prediction

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

A computational approach to fisher information geometry with applications to image analysis

EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition

Kernel methods for nonlinear discriminative data analysis

EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition

A survey on feature extraction for pattern recognition

Artificial Intelligence Review

Feature space locality constraint for kernel based nonlinear discriminant analysis

Pattern Recognition

Towards the unification of structural and statistical pattern recognition

Pattern Recognition Letters

Kernel modified quadratic discriminant function for facial expression recognition

IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis

Spectral sequencing based on graph distance

GMP'06 Proceedings of the 4th international conference on Geometric Modeling and Processing

Non-metric similarity ranking for image retrieval

DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications

Two methods for sparsifying probabilistic canonical correlation analysis

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Soft analyzer modeling for dearomatization unit using KPCR with online eigenspace decomposition

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Probabilistic kernel principal component analysis through time

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Adaptively incremental self-organizing isometric embedding

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Improved kernel common vector method for face recognition varying in background conditions

CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images

K-clustered tensor approximation: A sparse multilinear model for real-time rendering

ACM Transactions on Graphics (TOG)

Non linear temporal textures synthesis: a monte carlo approach

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II

An accurate MDS-Based algorithm for the visualization of large multidimensional datasets

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing

Kernel laplacian eigenmaps for visualization of non-vectorial data

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence

Object localization by subspace clustering of local descriptors

ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing

Face recognition technique using symbolic linear discriminant analysis method

ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing

Nyström approximations for scalable face recognition: a comparative study

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II

Spatial feature interdependence matrix (SFIM): a robust descriptor for face recognition

PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I

Improving correspondence matching using label consistency constraints

IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I

A multiclass classification framework for document categorization

DAS'06 Proceedings of the 7th international conference on Document Analysis Systems

Evolutionary kernel density regression

Expert Systems with Applications: An International Journal

Discriminant sparse neighborhood preserving embedding for face recognition

Pattern Recognition

The connections between principal component analysis and dimensionality reduction methods of manifolds

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence

Recognition based on fusion of gait, ear and face features using KPCA method

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing

An algebraic method for approximate rank one factorization of rank deficient matrices

LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation

Sequence kernels for clustering and visualizing near duplicate video segments

MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling

Radar HRRP recognition based on discriminant information analysis

WSEAS Transactions on Information Science and Applications

Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding

Neural Processing Letters

Design and comparative study of online kernel methods identification of nonlinear system in RKHS space

Artificial Intelligence Review

Differentiating between expanded and fault conditions using principal component analysis

Journal of Intelligent Manufacturing

Face recognition using discriminant sparsity neighborhood preserving embedding

Knowledge-Based Systems

An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification

Neural Networks

A novel kernelized fuzzy C-means algorithm with application in medical image segmentation

Artificial Intelligence in Medicine

2012 Special Issue: A novel extended kernel recursive least squares algorithm

Neural Networks

Kernel based regression and genetic algorithms for estimating cutting conditions of surface roughness in end milling machining process

Expert Systems with Applications: An International Journal

On nonlinear dimensionality reduction for face recognition

Image and Vision Computing

Novel Fisher discriminant classifiers

Pattern Recognition

A probabilistic model for image representation via multiple patterns

Pattern Recognition

Robust principal component analysis with non-greedy l1-norm maximization

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two

CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition

Computational Biology and Chemistry

Distributed approximate spectral clustering for large-scale datasets

Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing

Learning low-rank Mercer kernels with fast-decaying spectrum

Neurocomputing

Kernel approximately harmonic projection

Neurocomputing

Two-stage nonparametric kernel leaning: From label propagation to kernel propagation

Neurocomputing

Stochastic neighbor projection on manifold for feature extraction

Neurocomputing

Fast kernel Fisher discriminant analysis via approximating the kernel principal component analysis

Neurocomputing

Mean square convergence analysis for kernel least mean square algorithm

Signal Processing

Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition

Neural Processing Letters

Classifier-specific intermediate representation for multimedia tasks

Proceedings of the 2nd ACM International Conference on Multimedia Retrieval

Strictly positive-definite spike train kernels for point-process divergences

Neural Computation

A new approach to a maximum a posteriori-based kernel classification method

Neural Networks

Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering

ACM Transactions on Intelligent Systems and Technology (TIST)

Validation of Nonlinear PCA

Neural Processing Letters

Orthogonal discriminant vector for face recognition across pose

Pattern Recognition

Sampling methods for the Nyström method

The Journal of Machine Learning Research

A unifying probabilistic perspective for spectral dimensionality reduction: insights and new models

The Journal of Machine Learning Research

The study of different similarity measure techniques in recognition of handwritten characters

Proceedings of the International Conference on Advances in Computing, Communications and Informatics

Sequential manifold learning for efficient churn prediction

Expert Systems with Applications: An International Journal

Explicit integration of identity information from skin regions to improve face recognition

ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II

Cervical cell classification based exclusively on nucleus features

ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II

Discriminant subspace learning based on support vectors machines

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Orthogonal projection analysis

IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering

Oja's algorithm for graph clustering, Markov spectral decomposition, and risk sensitive control

Automatica (Journal of IFAC)

A reduced support vector machine approach for interval regression analysis

Information Sciences: an International Journal

An online kernel-based clustering approach for value function approximation

SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications

Feature selection on node statistics based embedding of graphs

Pattern Recognition Letters

Nonlinearities and adaptation of color vision from sequential principal curves analysis

Neural Computation

Face identification using reference-based features with message passing model

Neurocomputing

Maximal Similarity Embedding

Neurocomputing

Face recognition by discriminant analysis with gabor tensor representation

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Learning kernel subspace classifier

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Knowledge adaptation for ad hoc multimedia event detection with few exemplars

Proceedings of the 20th ACM international conference on Multimedia

The classification of cancer stage microarray data

Computer Methods and Programs in Biomedicine

Biologically inspired task oriented gist model for scene classification

Computer Vision and Image Understanding

Kernel-based representation for 2D/3D motion trajectory retrieval and classification

Pattern Recognition

Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis

Information Sciences: an International Journal

A minimax probabilistic approach to feature transformation for multi-class data

Applied Soft Computing

Classification of hyperspectral data over urban areas based on extended morphological profile with partial reconstruction

ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems

Kernel similarity based AAMs for face recognition

ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems

Subspace learning in krein spaces: complete kernel fisher discriminant analysis with indefinite kernels

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV

Hypergraph spectra for semi-supervised feature selection

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I

Pavement distress image recognition based on multilayer autoencoders

AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence

Kernelization of matrix updates, when and how?

ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory

Error-correcting output codes based ensemble feature extraction

Pattern Recognition

Differential evolution trained kernel principal component WNN and kernel binary quantile regression: Application to banking

Knowledge-Based Systems

Structure learning for belief rule base expert system: A comparative study

Knowledge-Based Systems

Stability of dimensionality reduction methods applied on artificial hyperspectral images

ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics

Out-of-sample embedding by sparse representation

SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Automatic dimensionality estimation for manifold learning through optimal feature selection

SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Hypergraph spectra for unsupervised feature selection

SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Parallel rare term vector replacement: Fast and effective dimensionality reduction for text

Journal of Parallel and Distributed Computing

Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data

Data Mining and Knowledge Discovery

An alternative approach for the classification of orange varieties based on near infrared spectroscopy

Computers and Electronics in Agriculture

Hyperdisk based large margin classifier

Pattern Recognition

A Semi-Supervised Metric Learning for Content-Based Image Retrieval

International Journal of Computer Vision and Image Processing

Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition

International Journal of Computer Vision and Image Processing

Speeding-up the kernel k-means clustering method: A prototype based hybrid approach

Pattern Recognition Letters

Non-parametric Fisher's discriminant analysis with kernels for data classification

Pattern Recognition Letters

Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification

Pattern Recognition

Kernel-based principal components analysis on large telecommunication data

AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101

Kernel group method of data handling: application to regression problems

SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing

An explicit description of the extended gaussian kernel

PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining

Densifying Distance Spaces for Shape and Image Retrieval

Journal of Mathematical Imaging and Vision

A novel ant-based clustering algorithm using Renyi entropy

Applied Soft Computing

Evolving artificial neural networks for nonlinear feature construction

Proceedings of the 15th annual conference on Genetic and evolutionary computation

Image classification with manifold learning for out-of-sample data

Signal Processing

Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition

Pattern Recognition

Adaptive discriminant learning for face recognition

Pattern Recognition

Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions

Pattern Recognition

Using the idea of the sparse representation to perform coarse-to-fine face recognition

Information Sciences: an International Journal

Design of non-linear discriminative dictionaries for image classification

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I

Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation

Neurocomputing

Multiple feature fusion based on co-training approach and time regularization for place classification in wearable video

Advances in Multimedia

From the idea of "sparse representation" to a representation-based transformation method for feature extraction

Neurocomputing

Adaptive kernel subspace method for speeding up feature extraction

Neurocomputing

Fixed budget quantized kernel least-mean-square algorithm

Signal Processing

Efficient and effective automated surveillance agents using kernel tricks

Simulation

A scalable, non-parametric anomaly detection framework for Hadoop

Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference

Structure preserving non-negative matrix factorization for dimensionality reduction

Computer Vision and Image Understanding

Probabilistic non-linear distance metric learning for constrained clustering

Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering

A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media

Journal of Computational Physics

We are not equally negative: fine-grained labeling for multimedia event detection

Proceedings of the 21st ACM international conference on Multimedia

Stress functions for nonlinear dimension reduction, proximity analysis, and graph drawing

The Journal of Machine Learning Research

On the convergence rate of lp-norm multiple kernel learning

The Journal of Machine Learning Research

Security analysis of online centroid anomaly detection

The Journal of Machine Learning Research

Clustering based on a near neighbor graph and a grid cell graph

Journal of Intelligent Information Systems

Clustering Persian viseme using phoneme subspace for developing visual speech application

Multimedia Tools and Applications

Beam search algorithms for multilabel learning

Machine Learning

Kernelizing the proportional odds model through the empirical kernel mapping

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I

Noise effects on spatial pattern data classification using wavelet kernel PCA: a monte carlo simulation study

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I

Nonlocal estimation of manifold structure

Neural Computation

Kernel minimum error entropy algorithm

Neurocomputing

Explicit context-aware kernel map learning for image annotation

ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems

Determination of dry matter content of tea by near and middle infrared spectroscopy coupled with wavelet-based data mining algorithms

Computers and Electronics in Agriculture

Model selection in kernel ridge regression

Computational Statistics & Data Analysis

Kernel continuum regression

Computational Statistics & Data Analysis

Inductive manifold learning using structured support vector machine

Pattern Recognition

Embedding new observations via sparse-coding for non-linear manifold learning

Pattern Recognition

Euler clustering

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Reduced heteroscedasticity linear regression for Nyström approximation

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

An efficient 3D face recognition approach using local geometrical signatures

Pattern Recognition

Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction

Pattern Recognition

Similar handwritten Chinese character recognition by kernel discriminative locality alignment

Pattern Recognition Letters

Geometrical and computational aspects of Spectral Support Estimation for novelty detection

Pattern Recognition Letters

A proposal for an integrated modelling framework to characterise habitat pattern

Environmental Modelling & Software

Semi-supervised clustering of large data sets with kernel methods

Pattern Recognition Letters

A general non-local denoising model using multi-kernel-induced measures

Pattern Recognition

Kernel fuzzy c-means with automatic variable weighting

Fuzzy Sets and Systems

Construction of approximation spaces for reinforcement learning

The Journal of Machine Learning Research

Parallel vector field embedding

The Journal of Machine Learning Research

Shape classification by manifold learning in multiple observation spaces

Information Sciences: an International Journal

Robust action recognition using local motion and group sparsity

Pattern Recognition

Weighted discriminative sparsity preserving embedding for face recognition

Knowledge-Based Systems

Supervised Distance Preserving Projections

Neural Processing Letters

Regressing Local to Global Shape Properties for Online Segmentation and Tracking

International Journal of Computer Vision

Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing

Neurocomputing

Efficient eigen-updating for spectral graph clustering

Neurocomputing

A unified SVM framework for signal estimation

Digital Signal Processing

Kernel clustering using a hybrid memetic algorithm

Natural Computing: an international journal

Review: A review of novelty detection

Signal Processing

Unsupervised categorization of human motion sequences

Intelligent Data Analysis

Kernel regression with sparse metric learning

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Hierarchical Hidden Markov Model in detecting activities of daily living in wearable videos for studies of dementia

Multimedia Tools and Applications

Activity representation with motion hierarchies

International Journal of Computer Vision

Incremental two-dimensional kernel principal component analysis

Neurocomputing

Kernel inverse Fisher discriminant analysis for face recognition

Neurocomputing

A hybrid memetic algorithm for global optimization

Neurocomputing