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一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。,A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
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LPP是局部保局投影方法，这里给出了matlab的源码-lpp code for face recognition
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face recognition system in matlab-face recognition system in matlab...
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人脸识别的LPP方法的源代码，保局投影(LPP)作为拉普拉斯特征映射的一种线性逼近可以较好的反映样本的流形结构-LPP method for face recognition source code, locality preserving projection (LPP) manifold structure as a linear Laplasse feature mapping approach can better reflect the sample
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局部保持投影（LPP），用于人脸的模式识别，亦可以用来分类，大家讨论讨论，不足的地方改进！-Local projection (LPP), pattern recognition for face, also can be used in the classification, we discuss, insufficient place improvement!
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基于matlab编程，用于人脸识别的LPP代码。-Based on the matlab programming, LPP code for face recognition.
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GLPP算法，LPP算法的基础上加了Global，是一种人脸识别算法-An algorithm for face recognition
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