文件名称:kernel-linear-principal-componenet
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this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models
(系统自动生成,下载前可以参看下载内容)
下载文件列表
kPCA_v3.1\1207.3538.pdf
.........\code\PCA.m
.........\....\distanceMatrix.m
.........\....\kPCA.m
.........\....\kPCA_NewData.m
.........\....\kPCA_PreImage.m
.........\....\kernel.m
.........\....\kernel_NewData.m
.........\demo1\SyntheticData.mat
.........\.....\demo_SyntheticData.m
.........\....2\YaleFaceData.mat
.........\.....\demo_YaleFace.m
.........\....3\demo_faceASM_PCA.m
.........\.....\demo_faceASM_kPCA.m
.........\.....\drawFaceModel.m
.........\.....\points_20.mat
license.txt