文件名称:LSC_Demo
介绍说明--下载内容均来自于网络,请自行研究使用
局部约束的软编码程序,可用于图像分类,效果非常好.-local-soft-assignment coding,it can be used to classify images
(系统自动生成,下载前可以参看下载内容)
下载文件列表
LSC_Demo
........\Dictionary.m
........\Fea
........\Knn.asv
........\Knn.m
........\LLC_Test.asv
........\LLC_Test.m
........\LLC_coding_appr.m
........\LLC_pooling.asv
........\LLC_pooling.m
........\LSC_Test.asv
........\LSC_Test.m
........\LSC_pooling.asv
........\LSC_pooling.m
........\README
........\ReadMe.txt
........\Utility
........\.......\Coding
........\.......\......\EC_soft_coding.m
........\.......\......\Find_knn.c
........\.......\......\Find_knn.mexw32
........\.......\......\Find_knn.mexw64
........\.......\......\vq_group.c
........\.......\......\vq_group.mexw32
........\.......\......\vq_group.mexw64
........\.......\SPM
........\.......\...\BuildSPM_from_coding.m
........\.......\SVM
........\.......\...\.nfs00000000088528c800000001
........\.......\...\.nfs00000000088528c900000002
........\.......\...\BestSVM_Train.m
........\.......\...\COPYRIGHT
........\.......\...\Copy of FastBestSVM_Test_kernel.m
........\.......\...\DSR_SVM_Test.asv
........\.......\...\FastBestSVM_Test_kernel.m
........\.......\...\FastBestSVM_Test_kernel.m~
........\.......\...\FastBestSVM_Test_kernel_largescale.m
........\.......\...\GetWeightBinary.m
........\.......\...\LinearSVM_Test.m
........\.......\...\LinearSVM_Test_Binary_LOOV.m
........\.......\...\LinearSVM_Test_dimselect.m
........\.......\...\Makefile
........\.......\...\README
........\.......\...\SVM_LOOV_Test_kernel_largescale.m
........\.......\...\SVM_OneVsAll_Test.asv
........\.......\...\SVM_OneVsAll_Test.m
........\.......\...\SVM_Test_LOOV.m
........\.......\...\SVM_Train_Binary_LOOV.m
........\.......\...\SVM_Train_kernel.m
........\.......\...\chi2rbfkernel.c
........\.......\...\chi2rbfkernel.c~
........\.......\...\chi2rbfkernel.mexglx
........\.......\...\chi2rbfkernel.mexw32
........\.......\...\heart_scale.mat
........\.......\...\libsvmread.c
........\.......\...\libsvmread.mexglx
........\.......\...\libsvmread.mexw32
........\.......\...\libsvmwrite.c
........\.......\...\libsvmwrite.mexglx
........\.......\...\libsvmwrite.mexw32
........\.......\...\linear.o
........\.......\...\linear_model_matlab.o
........\.......\...\make.m
........\.......\...\make.m~
........\.......\...\predict.mexglx
........\.......\...\predict.mexw32
........\.......\...\sl_GetWb_Binary.m
........\.......\...\sl_GetWb_Binary_dimselect.m
........\.......\...\svm.cpp
........\.......\...\svm.h
........\.......\...\svm.o
........\.......\...\svm.obj
........\.......\...\svm_model_matlab.c
........\.......\...\svm_model_matlab.h
........\.......\...\svm_model_matlab.o
........\.......\...\svm_model_matlab.obj
........\.......\...\svmpredict.c
........\.......\...\svmpredict.mexglx
........\.......\...\svmpredict.mexw32
........\.......\...\svmtrain.c
........\.......\...\svmtrain.mexglx
........\.......\...\svmtrain.mexw32
........\.......\...\train.mexglx
........\.......\...\train.mexw32
........\.......\...\tron.o
........\.......\SimpleMatrix
........\.......\............\ReadSimpleMatrix.m
........\.......\............\WriteSimpleMatrix.m
........\.......\segment_matrix_operation
........\.......\........................\segment
........\.......\........................\sl_accumulate_segment.m
........\.......\........................\sl_accumulate_segment_select.m
........\.......\........................\sl_accumulate_segment_select_subfeature.m
........\.......\........................\sl_create_new_segment.asv
........\.......\........................\sl_create_new_segment.m
........\.......\........................\sl_read_segment.m
........\.......\........................\sl_release_segment.m
........\.......\........................\sl_segment_multiply_sm_subvec_s.m
........\.......\........................\sl_segment_multiply_smm.m
........\.......\........................\sl_segment_multiply_sms.m