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PCAPSVM

于 2011-11-30 发布 文件大小:5334KB
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代码说明:

  PCA+SVM,对图像进行降维分类,并在yale库上测试取得比较好的效果(PCA+ SVM, dimensionality reduction of image classification, and yale library to achieve better test results)

文件列表:

在Yale 人脸库上运用PCA+SVM的方法实现了人脸检测,并统计识别率
.............................................................\Yale_5G
.............................................................\.......\allcoor.mat,1221330,2007-07-25
.............................................................\.......\base.mat,1221330,2007-07-25
.............................................................\.......\face1
.............................................................\.......\.....\bilinear.m,1381,2008-03-18
.............................................................\.......\.....\ch.m,306,2008-03-18
.............................................................\.......\.....\t





.............................................................\.......\.....\.\10_s4.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\11_s1.bmp,7478,2008-03-18
.............................................................\.......\.....\.\11_s10.bmp,7478,2008-03-18
.............................................................\.......\.....\.\11_s11.bmp,7478,2008-03-18
.............................................................\.......\.....\.\11_s2.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\11_s9.bmp,7478,2008-03-18
.............................................................\.......\.....\.\12_s1.bmp,7478,2008-03-18
.............................................................\.......\.....\.\12_s10.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\12_s2.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\14_s1.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\15_s1.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\15_s2.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\15_s7.bmp,7478,2008-03-18
.............................................................\.......\.....\.\15_s8.bmp,7478,2008-03-18
.............................................................\.......\.....\.\15_s9.bmp,7478,2008-03-18
.............................................................\.......\.....\.\1_s1.bmp,7478,2008-03-18
.............................................................\.......\.....\.\1_s10.bmp,7478,2008-03-18
.............................................................\.......\.....\.\1_s11.bmp,7478,2008-03-18
.............................................................\.......\.....\.\1_s2.bmp,7478,2008-03-18
.............................................................\.......\.....\.\1_s3.bmp,7478,2008-03-18
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.............................................................\.......\.....\.\2_s9.bmp,7478,2008-03-18
.............................................................\.......\.....\.\3_s1.bmp,7478,2008-03-18
.............................................................\.......\.....\.\3_s10.bmp,7478,2008-03-18
.............................................................\.......\.....\.\3_s11.bmp,7478,2008-03-18
.............................................................\.......\.....\.\3_s2.bmp,7478,2008-03-18

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