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ma yi sparse representation classification .EXTENDED YALE B database.recognition rate 95 。-ma yi sparse representation classification. recognition rate 95 .
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本matlab源程序适用于论文 metasample-based sparse representation for tumor classification
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一个自己编的稀疏表示分类程序（SRC），以帮助了解SRC的原理和算法。-A self sparse representation classification (SRC) program, to help understand the principles and algorithms of the SRC.
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matlab中的cvx工具包,适用于windows64位系统，在信号的稀疏表示分类领域有很大的用处，网络上有此工具包的安装说明，1要先解压2移动到matlab的一个空文件夹下3打开matlab，将当前路径设置为此文件夹下的cvx文件夹4在命令行窗口输入cvx_setup-matlab in cvx toolkit for windows64 bit systems, in a sparse representation of the signal areas of the classificat
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Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy
advantage of sparse representation classification (SRC) in the area of image classification. Those two
methods, however, have their respective drawback
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K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。
K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each sem
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基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
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