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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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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该算法是K-SVD算法的一种改进算法。该算法可以用于稀疏字典的学习中。与传统方法相比，能够有效的降低计算量，提高字典更新的速度。-The algorithm is an improved algorithm of K-SVD algorithm. The algorithm can be used to sparse dictionary learning. Compared with conventional methods, it is possible to effectively red
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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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general tool box for ksvd algorithm in dictionary learning for sparse representation
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基于核函数的字典学习方法，包含KSVD，OMP以及核KSVD和核OMP方法。可用于字典学习或稀疏表示。-Dictionary-based learning kernel, including KSVD, OMP and OMP nuclear KSVD and nuclear methods. It can be used for learning dictionary or a sparse representation.
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toolbox for dictionary learning and matrix factorization: SPAMS-a SPArse Modeling Software, v2.5
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经典LCKSVD算法的实现，稀疏编码与字典学习的重要过程。-Classical LCKSVD algorithm implementation, sparse coding and dictionary learning an important process.
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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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单幅图像超分辨处理 深度学习 稀疏表示 字典学习(Single image, super-resolution processing, depth learning, sparse representation, dictionary learning)
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稀疏编码和字典学习算法，正交匹配追踪算法获得稀疏表示稀疏，ksvd用来学习字典(Sparse coding and dictionary learning algorithm, orthogonal matching tracking algorithm to obtain sparse sparse, ksvd used to learn the dictionary)
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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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实现图像的稀疏编码，采用k-svd进行字典学习，omp算法进行稀疏表示系数的计算，内附有去噪例子(To achieve the image sparse coding, using K-SVD dictionary learning, OMP algorithm for sparse representation of the calculation of factors, with examples of denoising)
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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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LC-KSVD算法代码,<<Learning A Discriminative Dictionary for Sparse Coding via Label
Consistent K-SVD>>(LC-KSVD algorithm code, < <Learning A Discriminative Dictionary for Sparse Coding via Label
Consistent K-SVD> > )
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