Rapid and brief communication: A fast evolutionary pursuit algorithm based on linearly combining vectors

Authors:
Qijun Zhao;Hongtao Lu;David Zhang
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, PR China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, PR China;Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Venue:
Pattern Recognition
Year:
2006

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Abstract

In this paper, we propose a fast Evolutionary pursuit algorithm. It searches for optimal discriminant vectors through linearly combining standard bases. Experiments on the Yale and ORL databases verify its effectiveness and enhanced efficiency.