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CVPR
2006
IEEE
14 years 8 months ago
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
Sheng Zhang, Terence Sim
CVPR
2004
IEEE
14 years 8 months ago
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
Qi Li, Jieping Ye, Chandra Kambhamettu
ECCV
2006
Springer
14 years 8 months ago
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
Guang Dai, Dit-Yan Yeung, Hong Chang
CVPR
2005
IEEE
14 years 8 months ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang
IPCV
2008
13 years 7 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...