Description: 稀疏表示在鲁棒性人脸识别中的应用，很经典的论文-Sparse representation in the robustness of face recognition, very classic papers Platform: |
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Author:宋明龙 |
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Description: 稀疏表示中，关于如何提取特征的介绍。很值得看-Sparse representation, introduction on how to extract features. Is worth a look Platform: |
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Author:宋明龙 |
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Description: 里面介绍了很多小波分析、稀疏表示、盲源分离方面的书籍-Which introduced a lot of wavelet analysis, sparse representation and blind source separation of books Platform: |
Size: 1024 |
Author:jiang |
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Description: 基于交替方向乘子法的核稀疏表示算法，其中约束为L1规则-Alternating direction multiplier method based on nuclear sparse representation algorithm, which is L1 constraint rules Platform: |
Size: 1024 |
Author:liu |
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Description: 这是线性训练K-SVD词典的一种新算法
表示的信号。给定一组信号，K-SVD试图
提取物，可以稀疏表示这些信号最好的词典。
深入讨论了K-SVD算法中可以找到的：
“K-SVD：设计的超完备字典的一个算法
稀疏表示”，由M.阿哈，M. Elad和点写，适应性，
在IEEE Transactions出现。在信号处理，卷54，11号，
第4311-4322，十一月2006。-he K-SVD is a new algorithm for training dictionaries for linear
representation of signals. Given a set of signals, the K-SVD tries to
extract the best dictionary that can sparsely represent those signals.
Thorough discussion concerning the K-SVD algorithm can be found in:
"The K-SVD: An Algorithm for Designing of Overcomplete Dictionaries for
Sparse Representation", written by M. Aharon, M. Elad, and A.M. Bruckstein,
and appeared in the IEEE Trans. On Signal Processing, Vol. 54, no. 11,
pp. 4311-4322, November 2006. Platform: |
Size: 6262784 |
Author:飘摇 |
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Description: 本演示程序中，以“带行逻辑的链接信息”的三元组顺序表表示稀疏矩阵，实现两个矩阵相加、相减和相乘的运算。稀疏矩阵的输入形式采用三元组表示，而运算结果的表示以阵列形式列出。首先应输入矩阵的行数和列数，并判断给出的两个矩阵的行和列对于所要求的运算是否相匹配。（矩阵的行数和列数均不超过20）-The demonstration program, the " OK logical link information" triples sequence table indicates sparse matrix, to achieve two matrix addition, subtraction, and multiplication operations. Sparse matrix input form using triples representation, while computing the results expressed in an array list. First enter the matrix of rows and columns, and whether a given matrix rows and two columns are for the requested operation to match. (Matrix of rows and columns are not more than 20) Platform: |
Size: 2048 |
Author:张妍 |
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Description: 信号的稀疏表示,它意欲用尽可能少的非0系数表示信号的主要信息,从而简化信号处理问题的求解过程-Signal sparse representation, it intends to as little as possible of non-zero coefficient signal is the main information, so as to simplify the solving process of signal processing problems Platform: |
Size: 19484672 |
Author:张聪 |
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Description: 基于稀疏表示来实现图像的目标识别的几种算法-Image based on sparse representation to achieve the objectives identified several algorithms Platform: |
Size: 332800 |
Author:刘继宇 |
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Description: 这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。-This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse".It contains codes of the OMP, Batch code- OMP, CoROMP matching pursuit algorithm and improved K- SVD dictionary learning algorithm ,This is the important source code of image sparse representation ,which can help you learn and improve.
Platform: |
Size: 3080192 |
Author:汪玉珍 |
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