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sparse-cvpr13

于 2018-06-17 发布 文件大小:1549KB
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下载积分: 1 下载次数: 29

代码说明:

  使用迁移学习和稀疏编码来实现不同领域之间的适配,是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)

文件列表:

CodeData, 0 , 2014-01-07
CodeData\code, 0 , 2014-01-07
CodeData\code\TSC.m, 4603 , 2014-01-07
CodeData\code\learn_coding.m, 8143 , 2014-01-07
CodeData\code\learn_dictionary.m, 2292 , 2014-01-07
CodeData\code\run.m, 2353 , 2014-01-07
CodeData\data, 0 , 2014-01-07
CodeData\data\MSRC_vs_VOC.mat, 1230284 , 2012-11-14
CodeData\liblinear, 0 , 2013-09-09
CodeData\liblinear\COPYRIGHT, 1486 , 2012-04-17
CodeData\liblinear\Makefile, 993 , 2012-04-12
CodeData\liblinear\Makefile.win, 904 , 2010-06-14
CodeData\liblinear\README, 18739 , 2012-04-17
CodeData\liblinear\blas, 0 , 2013-09-09
CodeData\liblinear\blas\Makefile, 300 , 2007-03-21
CodeData\liblinear\blas\blas.h, 702 , 2007-02-23
CodeData\liblinear\blas\blasp.h, 16460 , 2007-02-23
CodeData\liblinear\blas\daxpy.c, 1205 , 2009-02-19
CodeData\liblinear\blas\ddot.c, 1211 , 2009-02-19
CodeData\liblinear\blas\dnrm2.c, 1306 , 2009-02-19
CodeData\liblinear\blas\dscal.c, 1035 , 2009-02-19
CodeData\liblinear\heart_scale, 27670 , 2009-06-18
CodeData\liblinear\linear.cpp, 55420 , 2012-04-15
CodeData\liblinear\linear.def, 346 , 2010-06-14
CodeData\liblinear\linear.h, 2008 , 2012-04-15
CodeData\liblinear\matlab, 0 , 2013-09-09
CodeData\liblinear\matlab\Makefile, 1764 , 2011-05-10
CodeData\liblinear\matlab\README, 7349 , 2012-04-17
CodeData\liblinear\matlab\libsvmread.c, 4014 , 2011-08-27
CodeData\liblinear\matlab\libsvmread.mexmaci64, 9484 , 2013-02-04
CodeData\liblinear\matlab\libsvmread.mexw32, 8192 , 2012-09-29
CodeData\liblinear\matlab\libsvmread.mexw64, 10752 , 2012-07-06
CodeData\liblinear\matlab\libsvmwrite.c, 2148 , 2011-08-27
CodeData\liblinear\matlab\libsvmwrite.mexmaci64, 9064 , 2013-02-04
CodeData\liblinear\matlab\libsvmwrite.mexw32, 6656 , 2012-09-29
CodeData\liblinear\matlab\libsvmwrite.mexw64, 9216 , 2012-07-06
CodeData\liblinear\matlab\linear_model_matlab.c, 3550 , 2012-04-17
CodeData\liblinear\matlab\linear_model_matlab.h, 166 , 2008-09-07
CodeData\liblinear\matlab\make.m, 910 , 2011-09-01
CodeData\liblinear\matlab\predict.c, 8214 , 2012-04-17
CodeData\liblinear\matlab\predict.mexmaci64, 64612 , 2013-02-04
CodeData\liblinear\matlab\predict.mexw64, 16384 , 2012-07-06
CodeData\liblinear\matlab\run.m, 88 , 2009-04-15
CodeData\liblinear\matlab\train.c, 10513 , 2012-04-17
CodeData\liblinear\matlab\train.mexmaci64, 65036 , 2013-02-04
CodeData\liblinear\matlab\train.mexw64, 58880 , 2012-07-06
CodeData\liblinear\predict.c, 5493 , 2012-04-15
CodeData\liblinear\python, 0 , 2013-09-09
CodeData\liblinear\python\Makefile, 32 , 2011-05-10
CodeData\liblinear\python\README, 10760 , 2012-04-26
CodeData\liblinear\python\liblinear.py, 8043 , 2012-04-25
CodeData\liblinear\python\liblinearutil.py, 7991 , 2012-04-20
CodeData\liblinear\train.c, 9393 , 2012-04-15
CodeData\liblinear\tron.cpp, 5221 , 2011-05-27
CodeData\liblinear\tron.h, 687 , 2009-07-01
CodeData\liblinear\windows, 0 , 2013-09-09
CodeData\liblinear\windows\liblinear.dll, 155648 , 2012-04-17
CodeData\liblinear\windows\libsvmread.mexw64, 11264 , 2012-03-16
CodeData\liblinear\windows\libsvmwrite.mexw64, 10240 , 2012-03-16
CodeData\liblinear\windows\predict.exe, 118784 , 2012-04-17
CodeData\liblinear\windows\predict.mexw64, 16384 , 2012-04-17
CodeData\liblinear\windows\train.exe, 155136 , 2012-04-17
CodeData\liblinear\windows\train.mexw64, 60928 , 2012-04-17
CodeData\ml, 0 , 2013-11-21
CodeData\ml\EuDist2.m, 1100 , 2012-11-14
CodeData\ml\NormalizeFea.m, 1163 , 2012-11-14
CodeData\ml\PCA.m, 1753 , 2012-11-14
CodeData\ml\constructW.m, 19120 , 2012-11-14
CodeData\ml\graph.m, 20830 , 2013-07-26
CodeData\ml\kernel.m, 1297 , 2013-10-09
CodeData\ml\mySVD.m, 3566 , 2012-11-14
CodeData\ml\stdv.m, 155 , 2013-11-21

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  • TomCat
    Excellent code for robust regression and multivariate dataanalysis
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    积分:1
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    邻域法。文献[ 24 ]提出一种基于动态邻域的选择策略,将一个目标定义为优化目标,而将其它所有目标定义为邻域目标,进而提出了选择全局最优粒子的动态邻域策略,但该方法对优化目标的选择以及邻域目标函数的排序较敏感。(Neighborhood method. [24] proposed a dynamic neighborhood based on the choice of strategy, a goal is defined as the optimization objective, and all other objectives will be defined as a neighborhood goals, and then select the global optimal particle proposed dynamic neighborhood strategy, but the Methods for optimizing the choice of target and neighborhood sensitive sort of objective function.)
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    积分:1
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