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  斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

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..........\.DS_Store,21508,2012-07-13
..........\createConfiguration.m,3702,2012-07-13
..........\createForegroundImages.m,2274,2012-07-13
..........\createMatFilesBg.m,3176,2012-07-13
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..........\decisiontree.cpp,18061,2012-07-13
..........\decisiontree.h,1201,2012-07-13
..........\decisiontree.h~,1185,2012-07-13
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..........\extractSIFT.m,2016,2012-07-13
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..........\generateSIFTGridBg.m,450,2012-07-13
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..........\GetSparseDataFunc.cpp,1337,2012-07-13
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..........\linear.cpp,45191,2012-07-13
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..........\nodeclassifier.cpp,13919,2012-07-13
..........\nodeclassifier.h,1016,2012-07-13
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..........\parameters.cpp,1295,2012-07-13
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..........\htm" target=_blank>README,2646,2012-08-14
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..........\trees
..........\trees.mat,722064,2012-07-13
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..........\VOCcode
..........\.......\PASemptyobject.m,224,2012-07-13
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__MACOSX
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........\..........\._.DS_Store,197,2012-07-13