搜索资源列表
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6下载：
KSVD原始算法：信号稀疏表示中的过完备字典的学习算法-KSVD original algorithm: Signal Sparse Representation of the learning algorithm over-complete dictionary
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一种基于图像训练的字典构造方法，可以用来进行压缩感知的基矩阵构造-Based on image training dictionary construction method can be used for compressed sensing-based matrix structure
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关于MATLAB的，关于函数使用，GUI编程等等，比较全的资料。-Some learning materials about how to use the MATLAB. You can find how to use the basic tools in MATLAB, study how to use the function, how to use the GUI and so on. This materials can help all kinds of persons using M
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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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自适应学习字典代码：训练字典的MATLAB仿真程序，能够很好的认识字典训练事例
-Adaptive learning dictionary code: dictionary MATLAB simulation training, can very good dictionary training examples
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基于字典学习的超分辨率例程，matlab编辑，对于理解超分辨率有一定帮助。-Dictionary-based super-resolution routine learning, matlab editor, for understanding the super-resolution of some help.
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字典学习的各种方法，K-SVD,online等主要的学习算法-Various methods dictionary learning, K-SVD, online learning algorithms and other major
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稀疏建模工具箱，是一个为解决各种稀疏估计问题的开源优化工具箱，可实现字典学习与矩阵分解；使用LARS、快速下降法、OMP、SOMP等算法解决稀疏分解问题；使用Lasso解决结构化稀疏分解问题- Dictionary learning and matrix factorization Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods Solving str
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toolbox for dictionary learning and matrix factorization: SPAMS-a SPArse Modeling Software, v2.5
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有关线性动态系统的稀疏编码和字典学习的Matlab源代码(Matlab source code about Sparse Coding and Dictionary Learning with Linear Dynamical Systems)
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基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's sourc
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rform_dictionary_learning - learn a dictionnary using K-SVD algorithm. %. % [D,X,E] ... The number of iteration for sparse coding during each step of learning. % is given by ... 'mod': in this case, the dictionary update is computed using the L2.
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一种在matlab环境下的计算稀疏表示的学习字典的算法(A learning dictionary algorithm for computing sparse representation in Matlab environment)
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Build_Noiselets algorithm matlab source code. dictionary Learning is a good introductory information on compressed sensing.
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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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