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JMLR
2006
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13 years 7 months ago
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
Jieping Ye, Tao Xiong
CSDA
2007
76views more  CSDA 2007»
13 years 7 months ago
Independent component analysis based on symmetrised scatter matrices
A new method for separating the mixtures of independent sources has been proposed recently in [8]. This method is based on two scatter matrices with the so called independence pro...
Sara Taskinen, S. Sirkiä, Hannu Oja
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