Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple-Exemplar Discriminant Analysis for Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Optimal Subclass Discovery for Discriminant Analysis
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 6 - Volume 06
IEEE Transactions on Pattern Analysis and Machine Intelligence
Where Are Linear Feature Extraction Methods Applicable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Letters: Kernel subclass discriminant analysis
Neurocomputing
Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval
Computer Vision and Image Understanding
Who is LB1? Discriminant analysis for the classification of specimens
Pattern Recognition
Discriminant Analysis with Label Constrained Graph Partition
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Face Recognition Using Clustering Based Optimal Linear Discriminant Analysis
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
EURASIP Journal on Advances in Signal Processing
Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition
International Journal of Computer Vision
An efficient discriminant-based solution for small sample size problem
Pattern Recognition
Adaptive Subclass Discriminant Analysis Color Space Learning for Visual Tracking
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Subclass linear discriminant analysis for video-based face recognition
Journal of Visual Communication and Image Representation
An MRF-based kernel method for nonlinear feature extraction
Image and Vision Computing
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
A novel Bayesian logistic discriminant model: An application to face recognition
Pattern Recognition
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A pre-clustering technique for optimizing subclass discriminant analysis
Pattern Recognition Letters
A new ranking method for principal components analysis and its application to face image analysis
Image and Vision Computing
Spectral clustering based null space linear discriminant analysis (SNLDA)
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Sub-class error-correcting output codes
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
The face recognition algorithm based on offset difference of double subspace
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Generalized re-weighting local sampling mean discriminant analysis
Pattern Recognition
Pattern Recognition Letters
Linear discriminant projection embedding based on patches alignment
Image and Vision Computing
Automatic event-based indexing of multimedia content using a joint content-event model
Proceedings of the 2nd ACM international workshop on Events in multimedia
Distance metric learning by minimal distance maximization
Pattern Recognition
High-level event detection system based on discriminant visual concepts
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Resilient subclass discriminant analysis with application to prelens tear film interferometry
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Classification of 3-D objects and faces employing view-based clusters
Computers and Electrical Engineering
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis
Computer Vision and Image Understanding
Short communication: On estimating simple probabilistic discriminative models with subclasses
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Subclass discriminant Nonnegative Matrix Factorization for facial image analysis
Pattern Recognition
Enhancing face recognition using Directional Filter Banks
Digital Signal Processing
Extended fisher criterion based on auto-correlation matrix information
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Super-class Discriminant Analysis: A novel solution for heteroscedasticity
Pattern Recognition Letters
FIDOS: A generalized Fisher based feature extraction method for domain shift
Pattern Recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Generalized mean for feature extraction in one-class classification problems
Pattern Recognition
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Robust gender recognition by exploiting facial attributes dependencies
Pattern Recognition Letters
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Over the years, many Discriminant Analysis (DA) algorithms have been proposed for the study of high-dimensional data in a large variety of problems. Each of these algorithms is tuned to a specific type of data distribution (that which best models the problem at hand). Unfortunately, in most problems the form of each class pdf is a priori unknown, and the selection of the DA algorithm that best fits our data is done over trial-and-error. Ideally, one would like to have a single formulation which can be used for most distribution types. This can be achieved by approximating the underlying distribution of each class with a mixture of Gaussians. In this approach, the major problem to be addressed is that of determining the optimal number of Gaussians per class, i.e., the number of subclasses. In this paper, two criteria able to find the most convenient division of each class into a set of subclasses are derived. Extensive experimental results are shown using five databases. Comparisons are given against Linear Discriminant Analysis (LDA), Direct LDA (DLDA), Heteroscedastic LDA (HLDA), Nonparametric DA (NDA), and Kernel-Based LDA (K-LDA). We show that our method is always the best or comparable to the best.