Description: First, the sis investigates principle component analysis (PCA) approachdeeply, and then the choice of feature vector of sample s covariance matrix anddistance measure criterion are discussed. PCA approach can approximate the original data with lower dimension feature vector.
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基于PCA的人脸识别技术的研究_齐兴敏.caj
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