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光子学报 2009
Object Recognition Using Particle Swarm Optimization based Kernel Matching Pursuit
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Abstract:
A method for object recognition using Kernel matching pursuits based on particle swarm optimization technique is presented.By using the particle swarm optimization algorithm in search basic function data in function dictionary,the Kernel matching pursuits method can reduces computational complexity of basic matching pursuit algorithm.As compared with kernel matching pursuits in UCI database and texture image recognition,the proposed algorithm can recognize desired object effectively.This owes to the fact th...