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» A Novel Kernel Discriminant Analysis for Face Verification
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CVPR
2005
IEEE
14 years 1 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
ICPR
2006
IEEE
14 years 8 months ago
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently. However, the training process of KFDA is too time consuming (even intractabl...
Baochang Zhang, Shiguang Shan, Wen Gao, Xilin Chen...
FGR
2002
IEEE
150views Biometrics» more  FGR 2002»
14 years 9 days ago
Face Recognition Using Kernel Based Fisher Discriminant Analysis
Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
CVPR
2005
IEEE
14 years 9 months ago
Coupled Kernel-Based Subspace Learning
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
Shuicheng Yan, Dong Xu, Lei Zhang, Benyu Zhang, Ho...