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基于PCA的人脸识别算法研究

于 2023-09-09 发布 文件大小:23.50 MB
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资源描述基于PCA的人脸识别算法研究,从专业的角度展示PCA人脸识别的算法和研究,有精确的识别方法和识别率.PCA,亦即主成分分析,主要用于对特征进行降维。如果数据的特征数非常多,我们可以认为其中只有一部分特征是真正我们感兴趣和有意义的,而其他特征或者是噪音,或者和别的特征有冗余。从所有的特征中找出有意义的特征的过程就是降维,而PCA是降维的两个主要方法之一(另一个是LDA).

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