Kernel PCA and de-noising in feature spaces

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

Robust De-noising by Kernel PCA

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

On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum

ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory

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

Neural Networks - New developments in self-organizing maps

Machine Learning for Computer Graphics: A Manifesto and Tutorial

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

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

Iterative Kernel Principal Component Analysis for Image Modeling

IEEE Transactions on Pattern Analysis and Machine Intelligence

Variable latent semantic indexing

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

Action respecting embedding

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

An efficient method for simplifying support vector machines

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

Using pivots to index for support vector machine queries

Proceedings of the 2nd international workshop on Computer vision meets databases

Kernel PCA for novelty detection

Pattern Recognition

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

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

Correspondence matching using kernel principal components analysis and label consistency constraints

Pattern Recognition

Perception through visuomotor anticipation in a mobile robot

Neural Networks

Efficiently updating and tracking the dominant kernel principal components

Neural Networks

Classifying NIR spectra of textile products with kernel methods

Engineering Applications of Artificial Intelligence

SVDD-Based Pattern Denoising

Neural Computation

Feature selection in a kernel space

Proceedings of the 24th international conference on Machine learning

Ridgelet kernel regression

Neurocomputing

Improved kernel principal component analysis for fault detection

Expert Systems with Applications: An International Journal

k-means discriminant maps for data visualization and classification

Proceedings of the 2008 ACM symposium on Applied computing

An approach for directly extracting features from matrix data and its application in face recognition

Neurocomputing

Non-negative sparse coding shrinkage for image denoising using normal inverse Gaussian density model

Image and Vision Computing

2008 Special Issue: Two forms of immediate reward reinforcement learning for exploratory data analysis

Neural Networks

KPCA Plus FDA for Fault Detection

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

Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA

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

Improved kernel fisher discriminant analysis for fault diagnosis

Expert Systems with Applications: An International Journal

POCS-Based Texture Reconstruction Method Using Clustering Scheme by Kernel PCA

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

POCS-Based Annotation Method Using Kernel PCA for Semantic Image Retrieval

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Information Maximization in a Linear Manifold Topographic Map

Neural Processing Letters

Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

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

Nonlinear extraction of independent components of natural images using radial gaussianization

Neural Computation

Kernel Entropy Component Analysis Pre-images for Pattern Denoising

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

Feature Extraction Using Linear and Non-linear Subspace Techniques

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

Kernel Generalized Foley-Sammon Transform with Cluster-Weighted

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

Reducing the run-time complexity of support vector data descriptions

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

Fuzzy SVM for noisy data: a robust membership calculation method

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

Automatic model selection for the optimization of SVM kernels

Pattern Recognition

Approximate Tree Kernels

The Journal of Machine Learning Research

Colored subspace analysis

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

A study of hippocampal shape difference between genders by efficient hypothesis test and discriminative deformation

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I

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

Signal Processing

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

Penalized preimage learning in kernel principal component analysis

IEEE Transactions on Neural Networks

Detecting influential observations in Kernel PCA

Computational Statistics & Data Analysis

Fast support vector data descriptions for novelty detection

IEEE Transactions on Neural Networks

Colored subspace analysis: dimension reduction based on a signal's autocorrelation structure

IEEE Transactions on Circuits and Systems Part I: Regular Papers

Orientation distance-based discriminative feature extraction for multi-class classification

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management

Learning an affine transformation for non-linear dimensionality reduction

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

Robust kernel discriminant analysis using fuzzy memberships

Pattern Recognition

Kernel Wiener filter and its application to pattern recognition

IEEE Transactions on Neural Networks

Unsupervised feature extraction via kernel subspace techniques

Neurocomputing

High-speed inline defect detection for TFT-LCD array process using a novel support vector data description

Expert Systems with Applications: An International Journal

Constructing sparse KFDA using pre-image reconstruction

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

Diffusion maps as a framework for shape modeling

Computer Vision and Image Understanding

Missing texture reconstruction method based on perceptually optimized algorithm

EURASIP Journal on Advances in Signal Processing

Dynamic pattern denoising method using multi-basin system with kernels

Pattern Recognition

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

Front end analysis of speech recognition: a review

International Journal of Speech Technology

Kernel principal component analysis for stochastic input model generation

Journal of Computational Physics

Centered subset kernel PCA for denoising

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

Characterizing pathological deviations from normality using constrained manifold-learning

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

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

Pattern Recognition Letters

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

The pre-image problem and kernel PCA for speech enhancement

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

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

SIAM Journal on Matrix Analysis and Applications

Missing data estimation using polynomial kernels

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

Unsupervised slow subspace-learning from stationary processes

ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory

Generalized foley-sammon transform with kernels

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

A shape-based approach to robust image segmentation

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I

Facial image reconstruction by SVDD-Based pattern de-noising

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

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

Kernel principal component analysis for large scale data set

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 kernel between unordered sets of data: the Gaussian mixture approach

ECML'05 Proceedings of the 16th European conference on Machine Learning

Comparative analysis of kernel methods for statistical shape learning

CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis

Simplified support vector machines via kernel-based clustering

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

Generalization bounds for subspace selection and hyperbolic PCA

SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection

Uniformly subsampled ensemble (USE) for churn management: Theory and implementation

Expert Systems with Applications: An International Journal

Validation of Nonlinear PCA

Neural Processing Letters

Learning kernel subspace classifier

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

Geodesic analysis on the gaussian RKHS hypersphere

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

Eyeglasses removal of thermal image based on visible information

Information Fusion

Hyperdisk based large margin classifier

Pattern Recognition

Euler Principal Component Analysis

International Journal of Computer Vision

Computational complexity of kernel-based density-ratio estimation: a condition number analysis

Machine Learning

Online web-data-driven segmentation of selected moving objects in videos

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

Efficiency investigation of manifold matching for text document classification

Pattern Recognition Letters

Static prediction games for adversarial learning problems

The Journal of Machine Learning Research

Color-to-gray based on chance of happening preservation

Neurocomputing

Kernel continuum regression

Computational Statistics & Data Analysis

Regularized discriminant entropy analysis

Pattern Recognition

Multi-period portfolio selection using kernel-based control policy with dimensionality reduction

Expert Systems with Applications: An International Journal