Hybrid wavelet-support vector classification of waveforms
Journal of Computational and Applied Mathematics
Sparse on-line Gaussian processes
Neural Computation
Optimization over Zonotopes and Training Support Vector Machines
WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures
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
Image denoising using self-organizing map-based nonlinear independent component analysis
Neural Networks - New developments in self-organizing maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel-based nonlinear blind source separation
Neural Computation
Advanced lectures on machine learning
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The Journal of Machine Learning Research
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ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Statistics and Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases
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An efficient method for simplifying support vector machines
ICML '05 Proceedings of the 22nd international conference on Machine learning
Kernel Fisher Discriminants for Outlier Detection
Neural Computation
Generating frontal view face image for pose invariant face recognition
Pattern Recognition Letters
Multiclass reduced-set support vector machines
ICML '06 Proceedings of the 23rd international conference on Machine learning
Kernel projection classifiers with suppressing features of other classes
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Kernel GMM and its application to image binarization
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Rapid and brief communication: Face recognition using common faces method
Pattern Recognition
MutualBoost learning for selecting Gabor features for face recognition
Pattern Recognition Letters
Identification of contributing variables using kernel-based discriminant modeling and reconstruction
Expert Systems with Applications: An International Journal
MutualBoost learning for selecting Gabor features for face recognition
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
Gabor wavelets and General Discriminant Analysis for face identification and verification
Image and Vision Computing
Gabor wavelets and General Discriminant Analysis for face identification and verification
Image and Vision Computing
Classifying NIR spectra of textile products with kernel methods
Engineering Applications of Artificial Intelligence
Efficient and interpretable fuzzy classifiers from data with support vector learning
Intelligent Data Analysis
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The Journal of Machine Learning Research
Incremental Support Vector Learning: Analysis, Implementation and Applications
The Journal of Machine Learning Research
Gaussian Mean-Shift Is an EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Computation
Structured large margin machines: sensitive to data distributions
Machine Learning
Information theory for Gabor feature selection for face recognition
EURASIP Journal on Applied Signal Processing
A kernel optimization method based on the localized kernel Fisher criterion
Pattern Recognition
A comparison of generalized linear discriminant analysis algorithms
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Improved kernel principal component analysis for fault detection
Expert Systems with Applications: An International Journal
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Decision Support Systems
NOLASC'05 Proceedings of the 4th WSEAS International Conference on Non-linear Analysis, Non-linear Systems and Chaos
Efficient and interpretable fuzzy classifiers from data with support vector learning
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
KPCA denoising and the pre-image problem revisited
Digital Signal Processing
A decoupled approach to exemplar-based unsupervised learning
Proceedings of the 25th international conference on Machine learning
Kernelized fuzzy attribute C-means clustering algorithm
Fuzzy Sets and Systems
Nonlinear estimation of subpixel proportion via kernel least square regression
International Journal of Remote Sensing
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
Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Support Vector Machine with Composite Kernels for Time Series Prediction
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
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Convergence Behavior of Competitive Repetition-Suppression Clustering
Neural Information Processing
An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine
FAW '08 Proceedings of the 2nd annual international workshop on Frontiers in Algorithmics
Ubiquitous and Robust Text-Independent Speaker Recognition for Home Automation Digital Life
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
On Relevant Dimensions in Kernel Feature Spaces
The Journal of Machine Learning Research
Complete discriminant evaluation and feature extraction in kernel space for face recognition
Machine Vision and Applications
Expert Systems with Applications: An International Journal
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PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Accuracy of suboptimal solutions to kernel principal component analysis
Computational Optimization and Applications
Separating hypersurfaces of SVMs in input spaces
Pattern Recognition Letters
Computers & Mathematics with Applications
Arbitrary norm support vector machines
Neural Computation
Expansive competitive learning for kernel vector quantization
Pattern Recognition Letters
Gaussian kernel optimization for pattern classification
Pattern Recognition
A simultaneous learning framework for clustering and classification
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An efficient algorithm for learning to rank from preference graphs
Machine Learning
POCS-Based Texture Reconstruction Method Using Clustering Scheme by Kernel PCA
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Support vector machine based aerodynamic analysis of cable stayed bridges
Advances in Engineering Software
Computationally efficient analysis of cable-stayed bridge for GA-based optimization
Engineering Applications of Artificial Intelligence
EURASIP Journal on Advances in Signal Processing
Online prediction of time series data with kernels
IEEE Transactions on Signal Processing
Fast support vector machines for continuous data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Constructing sparse kernel machines using attractors
IEEE Transactions on Neural Networks
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Feature Extraction Using Linear and Non-linear Subspace Techniques
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Frontal view recognition in multiview video sequences
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Extracting nonlinear features for multispectral images by FCMC and KPCA
Digital Signal Processing
Subspace based least squares support vector machines for pattern classification
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Reducing the run-time complexity of support vector data descriptions
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Improved gait recognition by multiple-projections normalization
Machine Vision and Applications
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Sparse online model learning for robot control with support vector regression
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Adaptive kernel principal component analysis
Signal Processing
A new method for monitoring and tuning plastic injection molding machines
Control and Intelligent Systems
Sparse Kernel PCA by Kernel K-means and preimage reconstruction algorithms
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Selecting a reduced set for building sparse support vector regression in the primal
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
On the number of modes of a Gaussian mixture
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Support vector machine classifiers for asymmetric proximities
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Feature extraction using constrained approximation and suppression
IEEE Transactions on Neural Networks
High efficiency on prediction of translation initiation site (TIS) of RefSeq sequences
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
Resilient approximation of kernel classifiers
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
On minimum class locality preserving variance support vector machine
Pattern Recognition
A novel Gaussian kernel paramter choosing method
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Multiple Kernel learning using regularized Ho-Kashyap classifier in empirical Kernel mapping space
ICNC'09 Proceedings of the 5th international conference on Natural computation
Improvements to train support vector machines based on convex set conception
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Reduced-support-vector-based fuzzy-neural model with application to the material property prediction
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Efficient reduction of support vectors in kernel-based methods
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Nonlinear non-negative component analysis algorithms
IEEE Transactions on Image Processing
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
Neural Processing Letters
Applying the possibilistic c-means algorithm in kernel-induced spaces
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Sparse learning for support vector classification
Pattern Recognition Letters
Optimizing the kernel selection for support vector machines using performance measures
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Fast support vector data descriptions for novelty detection
IEEE Transactions on Neural Networks
Framelet kernels with applications to support vector regression and regularization networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Similarity preserving principal curve: an optimal 1-D feature extractor for data representation
IEEE Transactions on Neural Networks
Orientation distance-based discriminative feature extraction for multi-class classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix
Neural Processing Letters
Diagnosis of Dental Deformities in Cephalometry Images Using Support Vector Machine
Journal of Medical Systems
Condensed vector machines: learning fast machine for large data
IEEE Transactions on Neural Networks
Feature extraction using support vector machines
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Constructing sparse KFDA using pre-image reconstruction
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Gabor feature based face recognition using kernel methods
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Kernel subspace LDA with optimized kernel parameters on face recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face detection based on kernel fisher discriminant analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Missing texture reconstruction method based on perceptually optimized algorithm
EURASIP Journal on Advances in Signal Processing
Bayesian kernel projections for classification of high dimensional data
Statistics and Computing
Subset selection for efficient SVM tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Finding pre-images via evolution strategies
Applied Soft Computing
Support Vector Machine incorporated with feature discrimination
Expert Systems with Applications: An International Journal
Mammogram retrieval through machine learning within BI-RADS standards
Journal of Biomedical Informatics
lp-Norm Multiple Kernel Learning
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Two-stage augmented kernel matrix for object recognition
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
An improvement to matrix-based LDA
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Regularized Pre-image Estimation for Kernel PCA De-noising
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Kernel Analysis of Deep Networks
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A Fast Algorithm for Updating and Downsizing the Dominant Kernel Principal Components
SIAM Journal on Matrix Analysis and Applications
Fusion of gaussian kernels within support vector classification
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
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Online support vector machines with vectors sieving method
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Over-complete wavelet approximation of a support vector machine for efficient classification
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Alternatives to parameter selection for kernel methods
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Mixtures of kernels for SVM modeling
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A kernel function method in clustering
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Simultaneous clustering and classification over cluster structure representation
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Multi-kernel growing support vector regressor
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Speeding up SVM in test phase: application to radar HRRP ATR
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Simplified support vector machines via kernel-based clustering
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Combining multiple kernels by augmenting the kernel matrix
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Online independent reduced least squares support vector regression
Information Sciences: an International Journal
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Pruning least objective contribution in KMSE
Neurocomputing
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Learning and inference in probabilistic classifier chains with beam search
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
A family of feed-forward models for protein sequence classification
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
A sequential algorithm for sparse support vector classifiers
Pattern Recognition
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Hyperdisk based large margin classifier
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The Journal of Machine Learning Research
Beam search algorithms for multilabel learning
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IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
On the informativeness of asymmetric dissimilarities
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
Reinforcement learning algorithms with function approximation: Recent advances and applications
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Towards topological analysis of high-dimensional feature spaces
Computer Vision and Image Understanding
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This paper collects some ideas targeted at advancing our understanding of the feature spaces associated with support vector (SV) kernel functions. We first discuss the geometry of feature space. In particular, we review what is known about the shape of the image of input space under the feature space map, and how this influences the capacity of SV methods. Following this, we describe how the metric governing the intrinsic geometry of the mapped surface can be computed in terms of the kernel, using the example of the class of inhomogeneous polynomial kernels, which are often used in SV pattern recognition. We then discuss the connection between feature space and input space by dealing with the question of how one can, given some vector in feature space, find a preimage (exact or approximate) in input space. We describe algorithms to tackle this issue, and show their utility in two applications of kernel methods. First, we use it to reduce the computational complexity of SV decision functions; second, we combine it with the kernel PCA algorithm, thereby constructing a nonlinear statistical denoising technique which is shown to perform well on real-world data