文件名称:dtf_fisher-master
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2016-01-28
- 文件大小：
- 400kb
- 下载次数：
- 0次
- 提 供 者：
- 李*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
基于颜色直方图的图像检索算法,效果不是很好,设和初学者使用.-Color histogram image retri algorithm, the effect is not very good, provided and beginners.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
dtf_fisher-master
.................\README.md
.................\compute_fisher.m
.................\extract_dtf_feats.m
.................\fisher_encode_vgg.m
.................\gmm_gen_codebook.m
.................\gzip_dtf_files
.................\load_dtf_data.m
.................\master.m
.................\parsave.m
.................\pretrain.m
.................\reclassify.m
.................\removeDC.m
.................\spm_pool_dtf.m
.................\subsample.m
.................\svm_ovr_class.m
.................\ucfTrainTestlist
.................\................\.txt
.................\................\bk_classInd.txt
.................\................\bk_testlist01.txt
.................\................\bk_testlist02.txt
.................\................\bk_testlist03.txt
.................\................\bk_trainlist01.txt
.................\................\bk_trainlist02.txt
.................\................\bk_trainlist03.txt
.................\................\classInd.txt
.................\................\classInd.txttrainlist02.txt
.................\................\gen_crossvalid_data
.................\................\gen_label_lists
.................\................\gen_svm_traintest_lists
.................\................\gen_train_list_by_group
.................\................\gen_traintest_lists
.................\................\list_all_videos
.................\................\mk_lists
.................\................\mk_lists_dtf
.................\................\mk_lists_isa
.................\................\testlist01.txt
.................\................\trainlist01.txt
.................\vgg_fisher
.................\..........\+featpipem
.................\..........\..........\+chunkio
.................\..........\..........\........\compChunksIMDB.m
.................\..........\..........\........\compKernel.m
.................\..........\..........\........\compWFromKT.m
.................\..........\..........\........\loadChunksIntoMat.m
.................\..........\..........\........\testChunks.m
.................\..........\..........\+classification
.................\..........\..........\...............\+svm
.................\..........\..........\...............\....\@GenericSvm
.................\..........\..........\...............\....\...........\GenericSvm.m
.................\..........\..........\...............\....\@LibSvm
.................\..........\..........\...............\....\.......\LibSvm.m
.................\..........\..........\...............\....\.......\getWMat.m
.................\..........\..........\...............\....\.......\test.m
.................\..........\..........\...............\....\.......\train.m
.................\..........\..........\...............\....\@LibSvmDual
.................\..........\..........\...............\....\...........\LibSvmDual.m
.................\..........\..........\...............\....\...........\getWMat.m
.................\..........\..........\...............\....\...........\test.m
.................\..........\..........\...............\....\...........\train.m
.................\..........\..........\...............\....\@LinearSvm
.................\..........\..........\...............\....\..........\LinearSvm.m
.................\..........\..........\+codebkgen
.................\..........\..........\..........\@GMMCodebkGen
.................\..........\..........\..........\.............\GmmCodebkGen.m
.................\..........\..........\..........\.............\train.m
.................\..........\..........\..........\@GenericCodebkGen
.................\..........\..........\..........\.................\GenericCodebkGen.m
.................\..........\..........\..........\@KmeansCodebkGen
.................\..........\..........\..........\................\KmeansCodebkGen.m
.................\..........\..........\..........\................\train.m
.................\..........\..........\+dim_red
.................\..........\..........\........\@GenericDimRed
.................\..........\.........