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Kernel Matching Pursuit Based on Immune Clonal Algorithm for Image Recognition

  • Shuiping Gou
  • Licheng Jiao
  • Yangyang Li
  • Qing Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)

Abstract

A method for object recognition of Kernel matching pursuits (KMP) [1] based on Immune Clonal algorithm (ICA) [2] is presented. Using the immune clonal select algorithm, which combines the global optimal searching ability and the locally quickly searching ability in search basic function data in function dictionary, this method can reduces computational complexity of basic matching pursuits algorithm. As compared with kernel matching pursuits the method has higher accurate recognition rate.

Keywords

Image Recognition Clonal Mutation Pursuit Algorithm Antibody Population Mercer Kernel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shuiping Gou
    • 1
  • Licheng Jiao
    • 1
  • Yangyang Li
    • 1
  • Qing Li
    • 1
  1. 1.National Key Laboratoty for Radar Signal Processing and Institute of Intelligent Information ProcessingXidian UniversityXi’anChina

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