Description: Other people' s things, the KPCA feature extraction, and seen, very good very strong
- [2DLDA] - Two-dimensional LDA face recognition mat
- [wavlet2d] - For an input graphics gabor feature extr
- [pca2D] - 2DPCA human face, gait, such as image re
- [vien] - EXAMPLE PROGRAM C CONTROL LED
- [PosixSVM] - A matlab code of enhanced SVM for face r
- [kpca] - describe kpca in detail
- [PCA_SVM] - This method uses the classical PCA on th
- [kpca] - kpca of matlab source, as long as people
- [pca-kpca] - This is a pca, kpca source code
File list (Check if you may need any files):
KPCA特征提取
............\KPCA_360度
............\..........\allTestSet1.mat
............\..........\allTestSet2.mat
............\..........\averImg.mat
............\..........\file.mat
............\..........\inputTestSet.asv
............\..........\inputTestSet.m
............\..........\KPCAextractro.asv
............\..........\KPCAProcess.asv
............\..........\KPCAProcess.m
............\..........\oldTestSet2.mat
............\..........\test1.asv
............\..........\test1.m
............\..........\testFeature.mat
............\..........\testProcess.asv
............\..........\testProcess.m
............\..........\testSet1.mat
............\..........\testSet2.mat
............\..........\trainResult.mat
............\..........\trainSet.mat
............\..........\trainSetArr.mat
............\..........\unit.m
............\..........\WaveletKPCA_MSTAR.asv
............\wavelet+KPCA_360度
............\..................\getWaveletKPCAFeature.m
............\..................\test.asv
............\..................\test.m
............\..................\testSet1.mat
............\..................\testSet2.mat
............\..................\trainSetArr.mat
............\..................\WaveletKPCA_MSTAR.asv
............\..................\WaveletKPCA_MSTAR.m
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