Kernel matching pursuit based on immune clonal algorithm for image recognition

Authors:
Shuiping Gou;Licheng Jiao;Yangyang Li;Qing Li
Affiliations:
National Key Laboratoty for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi'an, China;National Key Laboratoty for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi'an, China;National Key Laboratoty for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi'an, China;National Key Laboratoty for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi'an, China
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

Citing 5
Cited 0

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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.