FACE RECOGNITION USING PARTICLE SWARM OPTIMIZATION
2016-08-23
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FACE RECOGNITION USING PARTICLE SWARM OPTIMIZATION AND DCT
Feature selection (FS) is a global optimization problem in machine learning, which
reduces the number of features, removes irrelevant, noisy and redundant data, andresults in acceptable recognition accuracy. It is the most important step that
aects the performance of a pattern recognition system. This pdf presents a fea-
ture selection algorithm based on particle swarm optimization (PSO). PSO is a
computational paradigm based on the idea of collaborative behavior inspired by
the social behavior of bird
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matlab
算法
识别
人脸
dct
基于
优化
粒子
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