LSL_SC
所属分类：matlab编程
开发工具：matlab
文件大小：3820KB
下载次数：2
上传日期：2018-05-09 10:11:25
上 传 者：
siulietuiyiu
说明： 利用稀疏表示和特征分组来实现子空间学习的代码
(Using sparse representation and feature grouping to implement subspace learning code)
文件列表:
LSL_SC (0, 2011-09-12)
LSL_SC\demo (0, 2011-09-12)
LSL_SC\demo\demo.m (3115, 2011-09-12)
LSL_SC\demo\demo_ar.mat (3337688, 2011-09-09)
LSL_SC\demo\demo_yaleb.mat (552634, 2011-09-09)
LSL_SC\demo\dlsc_demo.m (892, 2011-09-10)
LSL_SC\demo\SSCP_demo.m (3187, 2011-09-10)
LSL_SC\demo\USCP_demo.m (3193, 2011-09-10)
LSL_SC\utilities (0, 2011-09-12)
LSL_SC\utilities\Classifier_NN_f.m (1543, 2010-10-10)
LSL_SC\utilities\content.m (647, 2011-09-10)
LSL_SC\utilities\dlsc.m (888, 2011-09-04)
LSL_SC\utilities\featureselection_supervised.m (795, 2011-08-26)
LSL_SC\utilities\featureselection_unsupervised.m (519, 2011-08-26)
LSL_SC\utilities\l1_ls_matlab (0, 2011-09-12)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab (0, 2011-09-12)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\@partialDCT (0, 2011-09-12)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\@partialDCT\ctranspose.m (72, 2007-03-05)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\@partialDCT\mtimes.m (175, 2007-03-05)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\@partialDCT\partialDCT.m (178, 2008-04-07)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\find_lambdamax_l1_ls.m (325, 2007-03-05)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\find_lambdamax_l1_ls_nonneg.m (339, 2008-05-15)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\l1_ls.m (8425, 2011-09-12)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\l1_ls_nonneg.m (7985, 2008-04-10)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\l1_ls_usrguide.pdf (83735, 2008-05-15)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\operator_example.m (1306, 2007-03-07)
LSL_SC\utilities\l1_ls_matlab\l1_ls_matlab\simple_example.m (387, 2007-03-05)
LSL_SC\utilities\learnmatrixpsupervised.m (1657, 2011-09-04)
LSL_SC\utilities\learnmatrixpunsupervised.m (1044, 2010-12-17)
LSL_SC\utilities\Metaface_ICIP (0, 2011-09-12)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP (0, 2011-09-12)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP\main_metaface.m (2600, 2010-07-10)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP\utilities (0, 2011-09-12)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP\utilities\Eigenface_f.m (1569, 2010-07-09)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP\utilities\Metaface.asv (1747, 2010-07-10)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP\utilities\Metaface.m (1942, 2010-07-10)
LSL_SC\utilities\Metaface_ICIP\Metaface_ICIP\utilities\Metaface_rand.asv (1474, 2010-07-10)
... ...
% The code is associated with the following paper:
%
% L. Zhang, P. Zhu, Q. Hu and D. Zhang, "A Linear Subspace Learning Approach via Sparse Coding," In IEEE Int. Conf. on Computer Vision, 2011.
%
% Please cite this paper if you use this code.
%
% For further information, please contact: cslzhang@comp.polyu.edu.hk
% ----------------------------------------------------------------------
% Permission to use, copy, or modify this software and its documentation
% for educational and research purposes only and without fee is here
% granted, provided that this copyright notice and the original authors'
% names appear on all copies and supporting documentation. This program
% shall not be used, rewritten, or adapted as the basis of a commercial
% software or hardware product without first obtaining permission of the
% authors. The authors make no representations about the suitability of
% this software for any purpose. It is provided "as is" without express
% or implied warranty.
%----------------------------------------------------------------------
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