文件名称:dicbelevel
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-09-21
- 文件大小：
- 11.75mb
- 下载次数：
- 0次
- 提 供 者：
- y***
- 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
字典学习，可以用于视觉图像的处理，例如恢复，重建，去噪-Dictionary to learn, can be used to deal with visual images, such as rehabilitation, reconstruction, de-noising, etc.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
dicbelevel
..........\Copy_of_compute_classifier_parametrs.m
..........\DictionaryLearning.m
..........\FastbarsTu.m
..........\KSVD_Matlab_ToolBox
..........\...................\KSVD.m
..........\...................\KSVD_NN.m
..........\...................\MOD.m
..........\...................\NN_BP.m
..........\...................\OMP.m
..........\...................\OMPerr.m
..........\...................\README.txt
..........\...................\demo1.m
..........\...................\demo2.m
..........\...................\demo3.m
..........\...................\denoiseImageDCT.m
..........\...................\denoiseImageGlobal.m
..........\...................\denoiseImageKSVD.m
..........\...................\displayDictionaryElementsAsImage.asv
..........\...................\displayDictionaryElementsAsImage.m
..........\...................\gererateSyntheticDictionaryAndData.m
..........\...................\globalTrainedDictionary.mat
..........\...................\house.png
..........\...................\lena.png
..........\...................\my_im2col.m
..........\...................\peppers256.png
..........\NormalizeFea.m
..........\OMPbox
..........\......\Contents.m
..........\......\faq.txt
..........\......\omp.m
..........\......\omp2.m
..........\......\ompdemo.m
..........\......\ompspeedtest.m
..........\......\ompver.m
..........\......\private
..........\......\.......\make.m
..........\......\.......\mexutils.c
..........\......\.......\mexutils.h
..........\......\.......\myblas.c
..........\......\.......\myblas.h
..........\......\.......\omp2mex.c
..........\......\.......\omp2mex.m
..........\......\.......\omp2mex.mexa64
..........\......\.......\omp2mex.mexw64
..........\......\.......\ompcore.c
..........\......\.......\ompcore.h
..........\......\.......\ompmex.c
..........\......\.......\ompmex.m
..........\......\.......\ompmex.mexa64
..........\......\.......\ompmex.mexw64
..........\......\.......\ompprof.c
..........\......\.......\ompprof.h
..........\......\.......\omputils.c
..........\......\.......\omputils.h
..........\......\.......\printf.m
..........\......\readme.txt
..........\OriginalbarsTu.m
..........\PROPACK
..........\.......\Afunc.m
..........\.......\AtAfunc.m
..........\.......\Atransfunc.m
..........\.......\Cfunc.m
..........\.......\bdsqr.m
..........\.......\bdsqr.mexw32
..........\.......\compute_int.m
..........\.......\lanbpro.m
..........\.......\laneig.m
..........\.......\lanpro.m
..........\.......\lansvd.m
..........\.......\mminfo.m
..........\.......\mmread.m
..........\.......\mmwrite.m
..........\.......\pythag.m
..........\.......\refinebounds.m
..........\.......\reorth.m
..........\.......\test.m
..........\.......\testtqlb.m
..........\.......\tqlb.m
..........\.......\update_gbound.m
..........\TrainDictionary.m
..........\choosvd.m
..........\compute_classifier_parametrs.m
..........\compute_laplase.m
..........\compute_projection_matrix.m
..........\compute_projection_matrix_and_classifier_parameters.m
..........\compute_representation.m
..........\getObjective.m
..........\inexact_alm_rpca.m
..........\ntest.m
..........\predic_labels.m
..........\predict.m
..........\spams-matlab
..........\............\COPYING
..........\............\HOW_TO_INSTALL.txt
..........\............\build
..........\............\.....\displayPatches.m
..........\............\.....\mexBayer.m
..........\............\.....\mexCD.m
..........\............\.....\mexCD.mexa64