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Description: 分页管理的算法的比较,实现基本的存储管理-FIFO,LRR,LFR,OPT,LUR
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Size: 8192 |
Author: 文成 |
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Description: Learning Automata Algorithms
A collection of machine learning programs which contains some of Learning Automata algorithms such as Tsetline, Krinisky, Krylov, LRI, LIP, LRR, LReP, SoftMax, SampleAverage and Random strategy. All of these developed in MATLAB 6.5
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Size: 9216 |
Author: Aso |
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Description: Manuscript for detailing the method of low-rank representation
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Size: 283648 |
Author: G. Liu |
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Description: Matlab code to run "Robust subsapce segmentation by low-rank representation"
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Size: 7168 |
Author: G. Liu |
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Description: 低秩LRR，标准低秩算法的matlab算法，希望能够给你带来帮助-Low-rank LRR, the standard low-rank algorithm matlab algorithm, hoping to give you help
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Size: 3072 |
Author: 二毛 |
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Description: 基于低秩表示的运动分割与人脸聚类的matlab代码-motion segmentation and face clustering by LRR
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Size: 2225152 |
Author: jagndj |
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Description: 关于平滑低秩和稀疏矩阵重建的文章，附有程序代码，供大家一起研究学习，希望一起讨论学习-On smooth low rank and sparse matrix reconstruction, with the program code, for everybody to study together, hope to discuss learning
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Size: 1547264 |
Author: 海波 |
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Description: 聚类分析是数据挖掘研究领域中一个非常活跃的研究课题) 本文重点分析了高维度数据的自动子空间聚类算法-Cluster analysis is a data mining research area in a very active research topic) This paper focuses on automatic subspace clustering algorithm for high dimensional data
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Size: 6144 |
Author: 汪静 |
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Description: 求解低秩表示模型。使用ADM求解样本的低秩表示矩阵。-Solving low rank representation model.
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Size: 6144 |
Author: 王振 |
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Description: 由文章作者提供的隐式低秩子空间聚类算法。参考文献：Guangcan Liu, Shuicheng Yan. Latent low rank representation [J]. Springer International Publishing, 2014:23-38. -The program is provided by the authors to realize latent low rank subspace clustering. Reference: Guangcan Liu, Shuicheng Yan. Latent low rank representation [J]. Springer International Publishing, 2014:23-38.
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Size: 5120 |
Author: 宋昱 |
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Description: 本程序是用来处理图像，把代表图像的矩阵分解成为一个低秩矩阵和一个稀疏矩阵~-This procedure is used to deal with the image, the representative image of the matrix decomposed into a low-rank matrix and a sparse matrix ~
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Size: 2224128 |
Author: liushhashan |
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Description: 潜在低阶表示，简称为LATLRR，主要用于实现子空间的分割以及其特征提取。其实在LRR的基础上进一步探索优化,以更好的解决问题~-Latent low-order representation, referred to as LATLRR, is mainly used to realize the sub-space segmentation and its feature extraction. In fact, based on the LRR to further explore and optimize to better solve the problem ~
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Size: 4096 |
Author: liushhashan |
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Description: 该程序可实现低秩子空间聚类和加权核范数最小化低秩子空间聚类。参考文献：Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma, Robust recovery of subspace structures by low-rank representation, IEEE T. Pattern Anal. 35(1) (2013) 171-184.-This program can realize subspace clustering based on low rank representation and subspace clustering based on weighted nuclear norm minimization and low rank representation. Reference: Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma, Robust recovery of subspace structures by low-rank representation, IEEE T. Pattern Anal. 35(1) (2013) 171-184.
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Size: 2231296 |
Author: 宋昱 |
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Description: 低秩表达程序，MATLAB.
Robust Subspace Segmentation by Low-Rank Representation(Low-Rank Representation program, MATLAB
Robust Subspace Segmentation by Low-Rank Representation)
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Size: 296960 |
Author: 嘉马嘉
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Description: LRR(低秩表示)假设一个数据矩阵严格的分布在一些独立的子空间。(LRR (Low Rank Representation) assumes that a data matrix is strictly distributed in some independent subspaces.)
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Size: 6144 |
Author: 为你绮烟落泪 |
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Description: 能够对高维的数据进行低秩约束，形成低秩的系数对原来的数据进行低秩表示(Low rank constraints can be used for high-dimensional data to form low rank coefficients for low rank representation of the original data.)
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Size: 10240 |
Author: kunc |
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