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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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采用基于lpp和lda算法的人脸识别，本算法同时结合lpp算法和lda的有点，能够很好地进行人脸识别。-face recognition based on lpp and lda
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基于LPP的人脸识别模块，运用matlab7.0编写，识别率达到70 以上，能够很好的识别不同姿势，光照，表情的变化-LPP-based face recognition module, using matlab7.0 writing, over 70 recognition rate can be a very good identification of the different positions, illumination, expression changes in
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laplacian 人脸识别，对研究人脸识别、特征提取，LPP 很有用。-It is a useful paper about laplacian face recognition, which is also useful for feature extraction and lpp.
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基于LPP的人脸识别程序，用matlab编程，实现训练，测试，识别等功能-Face recognition based on LPP program，Using MATLAB programming, training, testing, identification and other functions
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附件中包含各种各样的线性流形学习的降维算法（LPP，PCA，NPE。。。。），用于人脸识别，分类等等！-The annex contains a variety of linear manifold learning, dimensionality reduction algorithms (LPP, PCA, NPE....), For face recognition, classification, etc.!
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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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Gabor小波人脸识别，LBP特征提取，PCA，LPP降维。自己做的毕业设计。-Gabor wavelet face recognition, LBP feature extraction, PCA, LPP dimensionality reduction. Own graduation design.
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lpp算法实现单幅图像的人脸识别算法源码-Face recognition algorithm LPP source image.
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最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
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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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在人脸识别当中，针对LPP是一个局部化的线性降维处理，我们先提出来先对其进行预处理，然后再利用LPP。-In face recognition, in view of the LPP is a localization of linear dimension reduction processing, we first put forward the preprocessing, and then re-use LPP
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基于AR人脸库的LPP人脸识别算法，人脸识别人脸识别-LPP face recognition algorithm based on AR face
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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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MATLAB编写的人脸特征提取代码，叫局部保持投影特征提取算法，可以作为人脸识别系统一部分(MATLAB prepared by the facial feature extraction code, called the local projection feature extraction algorithm can be used as part of the face recognition system,feature exaction.)
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人脸识别代码，用于人脸识别，是基于pca lad 和lpp 的人脸识别代码(pca lda lpp for face recognition)
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