搜索资源列表
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美国莱斯大学压缩感知稀疏学习工具箱，能把信号进行稀疏表示，进而实现远低于奈奎斯特抽样速率的压缩感知-Rice University study Toolbox sparse compressed sensing, sparse representation of the signal can, thus achieving much lower than the Nyquist sampling rate of the compressed sensing
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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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附件程序为图像稀疏表示的源代码，程序用matlab编写，能正常运行。-Sparse representation of the image attachment program source code, programs written with matlab able to function properly.
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稀疏表示正交匹配追踪算法matlab源代码-sparse representation
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最热门的稀疏表示的算法，马毅等人在PAMI上发表的文章代码-Sparse representation of the most popular algorithms, Yi Ma, and others published an article in the PAMI code
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稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
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Image Super-Resolution via Sparse Representation
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Image Super Resolution via Sparse Representation. -Image Super Resolution via Sparse Representation.Image Super via Sparse Representation.
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应用于稀疏表示的KVSD算法，MABLAB-KVSD algorithm applied to sparse representation, MABLAB
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图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
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Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster
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sparse representation
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Sparse Representation or Collaborative Representation Which Helps Face Recognition
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Sparse representation
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Collection of Sparse Representation Library(Berkeley+Gatech)
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K-SVD SPARSE REPRESENTATION 基于学习的稀疏表示图像分析方法，以去噪为例。-K-SVD SPARSE REPRESENTATION
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參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」
Clustering-based Sparse Representation 的 matlab代碼-「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and
Clustering-based Sparse
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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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稀疏表示，使得数据简单看，而且易懂，是流行的一种数据表示方法-Sparse representation，Make the data look simple, but to understand, is one of the popular data representation method
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Tensor Low-Rank Sparse Representation for Tensor Subspace Learning
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