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Modified kernelbased uncorrelated set of discriminant vectors

Zhang Chun-yu1, Chen He-xin2, Chen Mian-shu2

  

  1. 1.National Centre of ITS Engineering and Technology, Beijing 100088; 2.College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2006-09-01 Revised:2006-12-03 Online:2007-07-01 Published:2007-07-01
  • Contact: Zhang Chun-yu

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Abstract:

For in small sample case, within-class scatter matrix has zero space which degenerates the vectors' discriminant ability. A modified Kernel-based uncorrelated set of discriminant vectors algorithm(MKUFDA) was proposed. Experiments on ORL face dataset show that our modified algorithm has a better performance than original kernel-based uncorrelated discriminant vectors.

Key words: information processing, kernel-based uncorrelated set of discriminant vectors, kernel trick, face recognition

CLC Number: 

  • TN911.73
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