Discriminative features extraction in minor component subspace

Authors:
Wenming Zheng;Cairong Zou;Li Zhao
Affiliations:
Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, China;Engineering Research Center of Information Processing and Application, Southeast University, Nanjing, Jiangsu, China;Engineering Research Center of Information Processing and Application, Southeast University, Nanjing, Jiangsu, China
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

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Abstract

In this paper, we propose a new method of extracting the discriminative features for classification from a given training dataset. The proposed method combines the advantages of both the null space method and the maximum margin criterion (MMC) method, whilst overcomes their drawbacks. The better performance of the proposed method is confirmed by face recognition experiments.