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PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Whitened LDA for face recognition
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Vo Dinh Minh Nhat, Sungyoung Lee, Hee Yong Youn
MMM
2007
Springer
143views Multimedia» more  MMM 2007»
13 years 11 months ago
Semi-supervised Cast Indexing for Feature-Length Films
Abstract. Cast indexing is a very important application for contentbased video browsing and retrieval, since the characters in feature-length films and TV series are always the ma...
Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimi...
ICPR
2008
IEEE
13 years 11 months ago
Boosting performance for 2D Linear Discriminant Analysis via regression
Two Dimensional Linear Discriminant Analysis (2DLDA) has received much interest in recent years. However, 2DLDA could make pairwise distances between any two classes become signi...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
ICPR
2008
IEEE
13 years 11 months ago
Linear discriminant analysis for data with subcluster structure
Linear discriminant analysis (LDA) is a widely-used feature extraction method in classification. However, the original LDA has limitations due to the assumption of a unimodal str...
Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo K...
ICANN
2009
Springer
13 years 11 months ago
Adaptive Feature Transformation for Image Data from Non-stationary Processes
Abstract. This paper introduces the application of the feature transformation approach proposed by Torkkola [1] to the domain of image processing. Thereto, we extended the approach...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
CVPR
2009
IEEE
13 years 12 months ago
Symmetric two dimensional linear discriminant analysis (2DLDA)
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...
Dijun Luo, Chris H. Q. Ding, Heng Huang
ICML
2005
IEEE
14 years 5 months ago
Multimodal oriented discriminant analysis
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
Fernando De la Torre, Takeo Kanade
ICPR
2004
IEEE
14 years 6 months ago
Multiple-Exemplar Discriminant Analysis for Face Recognition
Face recognition is characteristically different from regular pattern recognition and, therefore, requires a different discriminant analysis other than linear discriminant analysi...
Rama Chellappa, Shaohua Kevin Zhou
ICPR
2004
IEEE
14 years 6 months ago
Multiblock-Fusion Scheme for Face Recognition
A multiblock-fusion scheme for face recognition is proposed in this paper. Three face recognition algorithms, i.e. probabilistic match, Linear Discriminant Analysis (LDA) and Disc...
Rolf-Rainer Grigat, Shuyan Zhao