CNNSVM-master

代码说明：

  先利用卷及神经网络提取数据特征，再加svm进行分类(The first use of volume and neural network feature extraction data, together with the classification svm)

文件列表：

CNNSVM-master
.............\.gitattributes,378,2015-05-19
.............\.gitignore,574,2015-05-19
.............\CNNSVM
.............\......\cnn
.............\......\...\cnnapplygrads.m,575,2015-05-19
.............\......\...\cnnbp.m,2141,2015-05-19
.............\......\...\cnnff.m,1774,2015-05-19
.............\......\...\cnnnumgradcheck.m,3430,2015-05-19
.............\......\...\cnnsetup.m,2020,2015-05-19
.............\......\...\cnntest.m,193,2015-05-19
.............\......\...\cnntrain.m,845,2015-05-19
.............\......\...\test_example_CNN.m,981,2015-05-19
.............\......\cnn-model
.............\......\.........\epoch10.mat,3305586,2015-05-19
.............\......\.........\readme.txt,320,2015-05-19
.............\......\CNN.m,446,2015-05-19
.............\......\CNNSVM.m,1621,2015-05-19
.............\......\cnn_predict.m,251,2015-05-19
.............\......\data
.............\......\....\mnist_uint8.mat,14735220,2015-05-19
.............\......\epoch_by_epoch.m,495,2015-05-19
.............\......\feat-code
.............\......\.........\compute_features.m,713,2015-05-19
.............\......\.........\compute_feature_dim.m,165,2015-05-19
.............\......\.........\compute_gradient.m,3168,2015-05-19
.............\......\.........\compute_gradient_features.m,1242,2015-05-19
.............\......\.........\compute_gradient_features.m~,1242,2015-05-19
.............\......\.........\compute_sphog_features.m,1282,2015-05-19
.............\......\.........\concat_features.m,497,2015-05-19
.............\......\.........\cumsum2D.m,215,2015-05-19
.............\......\.........\get_sampling_grid.m,1335,2015-05-19
.............\......\.........\normalize_response.m,608,2015-05-19
.............\......\generate_cnn_feature.m,1815,2015-05-19
.............\......\Readme.md,392,2015-05-19
.............\......\svm
.............\......\...\display_images.m,274,2015-05-19
.............\......\...\libsvmread.c,4063,2015-05-19
.............\......\...\libsvmread.mexw64,10752,2015-05-19
.............\......\...\libsvmwrite.c,2341,2015-05-19
.............\......\...\libsvmwrite.mexw64,9728,2015-05-19
.............\......\...\make.m,777,2015-05-19
.............\......\...\Makefile,1240,2015-05-19
.............\......\...\normalize_data.m,411,2015-05-19
.............\......\...\htm" target=_blank>README,9826,2015-05-19
.............\......\...\read_data.m,1770,2015-05-19
.............\......\...\svmpredict.c,9823,2015-05-19
.............\......\...\svmpredict.mexw64,24576,2015-05-19
.............\......\...\svmtrain.c,11821,2015-05-19
.............\......\...\svmtrain.mexw64,62464,2015-05-19
.............\......\...\svm_model_matlab.c,8208,2015-05-19
.............\......\...\svm_model_matlab.h,201,2015-05-19
.............\......\svmmnistfea.m,3478,2015-05-19
.............\......\util
.............\......\....\allcomb.m,2618,2015-05-19
.............\......\....\expand.m,1958,2015-05-19
.............\......\....\flicker.m,208,2015-05-19
.............\......\....\flipall.m,80,2015-05-19
.............\......\....\fliplrf.m,543,2015-05-19
.............\......\....\flipudf.m,576,2015-05-19
.............\......\....\im2patches.m,313,2015-05-19
.............\......\....\isOctave.m,108,2015-05-19
.............\......\....\makeLMfilters.m,1895,2015-05-19
.............\......\....\myOctaveVersion.m,169,2015-05-19
.............\......\....\normalize.m,97,2015-05-19
.............\......\....\patches2im.m,242,2015-05-19
.............\......\....\randcorr.m,283,2015-05-19
.............\......\....\randp.m,2083,2015-05-19
.............\......\....\rnd.m,49,2015-05-19
.............\......\....\sigm.m,48,2015-05-19
.............\......\....\sigmrnd.m,126,2015-05-19
.............\......\....\softmax.m,256,2015-05-19
.............\......\....\tanh_opt.m,54,2015-05-19
.............\......\....\visualize.m,1072,2015-05-19
.............\......\....\whiten.m,183,2015-05-19
.............\......\....\zscore.m,137,2015-05-19