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4下载：
基于字典学习的稀疏编码，最新的版本，可以用于 window Linux和MacOs-Sparse Coding on Dictionary Learning，the new version. it can be applied to the windows, Linux and Mac
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稀疏编码的算法，运行请阅读readme文件，很简单,Sparse coding algorithmsrun matlab and execute:
"demo_fast_sc(1)": epsilon-L1 sparsity penalty
"demo_fast_sc(2)": L1 sparsity penalty
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基于Matlab的压缩感知视频编码程序。DCVS的最新理论算法程序。稀疏矩阵采用BWHT(沃尔什-哈达玛矩阵)，重构算法用GPSR。-Matlab-based video compression perceptual coding process. DCVS the latest theoretical algorithm program. Sparse matrix with BWHT (Walsh- Hadamard matrix), reconstruction algorithm wit
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.Sparse coding algorithm.We can also apply it onefficient sparse coding algorithm to a new machine learning framework called "self-taught learning", where we are given a small amount of labeled data for a supervised learning task, and lots of additio
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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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基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
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This a source code for sparse coding algorithm:
Reference:
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Raina Rajat and Andrew Y. Ng. In NIPS 19, 2007.
-This is a source code for sparse coding algorithm:
Reference
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This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
-This package contains the Matlab codes implementing the ScSPM algori
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改进的非负稀疏编码图像基学习算法Improved non-negative sparse coding algorithm for image-based Learning-Improved non-negative sparse coding algorithm for image-based Learning
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文獻「Robust Sparse Coding for Face Recognition」
及matlab代碼-「Robust Sparse Coding for Face Recognition」 and matlab source code.
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稀疏编码matlab代码Linear Spatial Pyramid Matching Using Sparse Coding-sparse coding (matlab code)
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这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book cor
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本matlab程序适用于论文Robust Sparse Coding for Face Recognition
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基于patch块的稀疏编码的matlab代码的实现，涉及到基和系数最小化的优化问题-Based on patch block sparse coding matlab code to achieve that relates to the base and the coefficient minimization optimization problem
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该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋-The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib
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关于稀疏编码的matlab代码包，里面有先关说明，以及引用出处。-sparse coding matlab code
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一个非常有效的稀疏编码的matlab代码，并附有作者的论文，希望可以帮助需要的人。(An efficient sparse coding algorithm and its original paper. We aim to help authors make their ideas spread.)
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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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efficient sparse coding, fast feature sign search algorithm, convex optimization
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matlab快速稀疏编码
论文来源
Honglak Lee Alexis Battle Rajat Raina Andrew Y. Ng
Computer Science Department
Stanford University
Stanford, CA 94305(Feature sign search
Efficient sparse coding algorithms
Honglak Lee Alexis Battle Rajat Raina Andrew Y.
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