IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for clustering data
Algorithms for clustering data
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An eigenspace update algorithm for image analysis
Graphical Models and Image Processing
Hierarchical Discriminant Analysis for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Modeling of Scattered Multivariate Data and Its Application to Shape Change
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering Algorithms
Similarity Search Using Multi-Space KL
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Subspace Classification for Face Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
MKL-Tree: A Hierarchical Data Structure for Indexing Multidimensional Data
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
A two-stage fingerprint classification system
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Auto-associative models and generalized principal component analysis
Journal of Multivariate Analysis
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Product quality on-line inspecting for the pressed protuberant character on a metal tag
Image and Vision Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture of KL subspaces for relevance feedback
Multimedia Tools and Applications
2D face recognition based on supervised subspace learning from 3D models
Pattern Recognition
Distribution-based similarity measures for multi-dimensional point set retrieval applications
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
The Big Brother Database: Evaluating Face Recognition in Smart Home Environments
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
PROSOPO - a face image synthesis system
PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
Incremental template updating for face recognition in home environments
Pattern Recognition
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Class-dependent projection based method for text categorization
Pattern Recognition Letters
Classification of 3-D objects and faces employing view-based clusters
Computers and Electrical Engineering
Fast protein superfamily classification using principal component null space analysis
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
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This work introduces the Multispace KL (MKL) as a new approach to unsupervised dimensionality reduction for pattern representation and classification. The training set is automatically partitioned into disjoint subsets, according to an optimality criterion; each subset then determines a different KL subspace which is specialized in representing a particular group of patterns. The extension of the classical KL operators and the definition of ad hoc distances allow MKL to be effectively used where KL is commonly employed. The limits of the standard KL transform are pointed out, in particular, MKL is shown to outperform KL when the data distribution is far from a multidimensional Gaussian and to better cope with large sets of patterns, which could cause a severe performance drop in KL.