A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ridge Regression Learning Algorithm in Dual Variables
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
The Journal of Machine Learning Research
Generalized Discriminant Analysis Using a Kernel Approach
Neural Computation
Input space versus feature space in kernel-based methods
IEEE Transactions on Neural Networks
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal kernel selection in Kernel Fisher discriminant analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Local Fisher discriminant analysis for supervised dimensionality reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
A Direct Method for Building Sparse Kernel Learning Algorithms
The Journal of Machine Learning Research
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
The Journal of Machine Learning Research
Local Discriminant Wavelet Packet Coordinates for Face Recognition
The Journal of Machine Learning Research
Interactive Semisupervised Learning for Microarray Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant kernel and regularization parameter learning via semidefinite programming
Proceedings of the 24th international conference on Machine learning
Multi-class Discriminant Kernel Learning via Convex Programming
The Journal of Machine Learning Research
Hidden space-based nonlinear discriminant feature extraction method
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
Feature extraction using constrained maximum variance mapping
Pattern Recognition
Locally linear discriminant embedding: An efficient method for face recognition
Pattern Recognition
Parsimonious Kernel Fisher Discrimination
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Prototype classification: Insights from machine learning
Neural Computation
An efficient discriminant-based solution for small sample size problem
Pattern Recognition
A New Meta-Criterion for Regularized Subspace Information Criterion
IEICE - Transactions on Information and Systems
Sparse multinomial kernel discriminant analysis (sMKDA)
Pattern Recognition
A novel kernel-based maximum a posteriori classification method
Neural Networks
Identification of signatures in biomedical spectra using domain knowledge
Artificial Intelligence in Medicine
Novel multiclass classifiers based on the minimization of the within-class variance
IEEE Transactions on Neural Networks
Using Kernel Basis with Relevance Vector Machine for Feature Selection
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Machine learning and applications for brain-computer interfacing
Proceedings of the 2007 conference on Human interface: Part I
The minimum redundancy-maximum relevance approach to building sparse support vector machines
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Sparse approximation through boosting for learning large scale kernel machines
IEEE Transactions on Neural Networks
Dimension reduction by a novel unified scheme using divergence analysis and genetic search
Digital Signal Processing
Linear discriminant projection embedding based on patches alignment
Image and Vision Computing
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
The Journal of Machine Learning Research
A new scheme to learn a kernel in regularization networks
Neurocomputing
WSEAS Transactions on Mathematics
Weighted principal component extraction with genetic algorithms
Applied Soft Computing
Face recognition by inverse fisher discriminant features
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Discriminant transform based on scatter difference criterion in hidden space
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Face recognition using discriminant sparsity neighborhood preserving embedding
Knowledge-Based Systems
Higher rank Support Tensor Machines for visual recognition
Pattern Recognition
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We incorporate prior knowledge to construct nonlinear algorithms for invariant feature extraction and discrimination. Employing a unified framework in terms of a nonlinearized variant of the Rayleigh coefficient, we propose nonlinear generalizations of Fisher's discriminant and oriented PCA using support vector kernel functions. Extensive simulations show the utility of our approach.