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基于PCA主成分分析算法的人脸识别，包括Matlab代码及原理的PPT
-Face recognition algorithm based on PCA principal component analysis, including Matlab code and the principle of the PPT
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利用主元分析和奇异值分解进行人脸特征提取的方法(并详细阐述其在PQRSQT中的实现过程(包括读取图像文件U计算均值脸U求特征值和特征向量(计算人脸特征参数-实现过程均给出了MATLAB代码-Using principal component analysis and singular value decomposition facial feature extraction method (and detail its in the PQRSQT in the implementation pr
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C版的主成分分析代码，可作为matlab工具箱-C version of the principal component analysis code, can be used as the matlab toolbox
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ICA（主分量分析）算法和程序，分形维数计算的毯子算法matlab代码,ML法能够很好的估计信号的信噪比。- ICA (Principal Component Analysis) algorithm and procedures, Fractal dimension calculation algorithm matlab code blankets, ML estimation method can be a good signal to noise ratio.
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相关分析过程的matlab方法，ICA（主分量分析）算法和程序，Gabor小波变换与PCA的人脸识别代码。- Correlation analysis process matlab method, ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transform and PCA face recognition code.
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