Other people' s things, the KPCA feature extraction, and seen, very good very strong

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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