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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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基于稀疏表示的计算机视觉和模式识别,主要介绍了利用稀疏表示的原理来处理计算视觉领域的去噪,识别,超分辨率重建等问题-Sparse Representation For Computer Vision and Pattern Recognition
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稀疏表达:向量、矩阵与张量.doc,对于学习压缩感知、稀疏表示的人有帮助-Sparse expression: Vector, matrix and tensor. Doc, for learning compressed sensing, sparse representation of the people to help
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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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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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本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码-This archive contains a sparse representation of image processing literature and related code
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主要用于解决模式识别中稀疏表示人脸识别核心问题L1范数源代码,程序采用同伦算法设计的,在目前稀疏表示多种算法中,同伦算法是性能公认最好的.-Mainly used to solve the sparse representation of face recognition pattern recognition in the core of L1 norm source code, the program designed using the homotopy algorithm, sparse
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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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大牛ELAD关于sparse representation的代码-The large cattle ELAD About sparse representation of the code
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介绍几种算法来确定稀疏表示的稀疏系数的求解方法-Introduce several algorithms to determine the sparse representation method for solving sparse coefficient
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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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this tutorial is about signal classification using sparse representation.
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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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稀疏表示,可以用于分析信号处理的算法程序-sparse representation
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完备图像稀疏表示是一种最新的图像表示模型,采用过完备字典中原子的线性组合形式实现图像的稀疏表示.传统
的过完备图像稀疏表示模型采用重建误差的平方和作为保真项.该保真项没有充分考虑到人眼对图像的感知特性,无法度量图
像中边缘、轮廓、纹理等局部几何结构的变化.本文基于过完备稀疏表示理论思想,建立了新的稀疏性正则化的图像稀疏表示模
型.模型中的正则项约束图像表示系数的稀疏性,保真项采用更符合视觉感知的结构相似性度量.基于正交匹配追踪算法,提出
了基于结构相似度的正交匹配追踪算法.实验结
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图像的稀疏表示,通过该算法可以读图像进行稀疏表示,并且查询字典可还原图像.-Image sparse representation, can be achieved by the algorithm of image sparse representation, and combine the dictionary query, can restore the image.
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