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FGR
2002
IEEE
150views Biometrics» more  FGR 2002»
13 years 12 months ago
Face Recognition Using Kernel Based Fisher Discriminant Analysis
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
IPCV
2008
13 years 8 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 ...
ICPR
2004
IEEE
14 years 8 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
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
14 years 13 days ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 1 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....