Sparse_Representations_classifier

代码说明：

  用极限稀疏矩阵对图像分类，该方法快速简单，代码少，效果好(An ultimate sparse matrix for image classification, the process quick and easy, less code, the effect is good)

文件列表：

license.txt,1314,2014-12-11
Sparse_Representations_classifier
.................................\.DS_Store,12292,2014-12-11
.................................\Sparse_Representations_classifier
.................................\.................................\example.m,149,2014-12-11
.................................\.................................\INSTALL.txt,1346,2014-12-11
.................................\.................................\sparse_represent.m,1491,2014-12-11
.................................\.................................\sparse_represent_kernelized.m,1595,2014-12-11
.................................\.................................\src.m,1518,2014-12-11
.................................\.................................\src_setup.m,23,2014-12-11
__MACOSX
........\._Sparse_Representations_classifier,222,2014-12-11
........\Sparse_Representations_classifier
........\.................................\._.DS_Store,120,2014-12-11
........\.................................\._license.txt,171,2014-12-11
........\.................................\._Sparse_Representations_classifier,222,2014-12-11
........\.................................\Sparse_Representations_classifier
........\.................................\.................................\._example.m,222,2014-12-11
........\.................................\.................................\._INSTALL.txt,171,2014-12-11
........\.................................\.................................\._sparse_represent.m,222,2014-12-11
........\.................................\.................................\._sparse_represent_kernelized.m,222,2014-12-11
........\.................................\.................................\._src.m,222,2014-12-11
........\.................................\.................................\._src_setup.m,222,2014-12-11