搜索资源列表
NLR_codes
- 压缩感知经典重建算法，非局部低秩算法，实现低秩正则约束，优化压缩图片质量。(Compressive Sensing via Nonlocal Low-Rank Regularization)
lrslibrary-master
- 前景提取算法集合，用matlab做的前端(The LRSLibrary provides a collection of low-rank and sparse decomposition algorithms in MATLAB. The library was designed for motion segmentation in videos, but it can be also used or adapted for other computer vision problems (fo
APGL
- 用于求解凸优化问题，恢复低秩密度矩阵问题(this matlab Algorithm can be used for the convey optimal problen, and also for the low-rank density matrix reconstruction)
SRF
- 一种低秩填充算法，SRF算法。通过低秩及相关性恢复矩阵数据。(Low rank filling algorithm)
matrixcompletion
- 矩阵完成算法 具有辅助信息的低秩矩阵完成模型(A low-rank matrix completion model with side information)
PCLR
- 利用图像的非Denoising of noisy image using non local joint low rank feature of image局部联合低秩特性，实现含噪图像去噪(Denoising of noisy image using non local joint low rank feature of image)
LRR
- 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)
mo19beck_mfiles_v1.1
- 求解矩阵分解的算法，尤其是对于低秩优化和稀疏优化问题，该算法的效果很好。(The algorithm to solve the matrix decomposition, especially for low rank optimization and sparse optimization problems, the algorithm works well.)
pcadenoise
- 矩阵 pca或者低秩方法去噪，利用svd分解，实现对图像矩阵的去噪，该方法支持对rgb图像的去噪。使用代码请 文章中表明出处，感谢。 感谢重庆市研究生科研创新项目支持，项目号CYS16183(image denoise by low-rand regularizer or pca method. the low rank is evaluted by svd, and this method is also support for rgb image.)
LRSD
- 用于分析Robust PCA对应的MATLAB程序，将一个矩阵分解为低秩和稀疏矩阵的形式(This paper analyzes the MATLAB program corresponding to Robust PCA, and decomposes a matrix into a form of low rank and sparse matrix.)
TESTMATRICES.tar
- 用于将矩阵分解为低秩和稀疏矩阵的MATLAB程序，用于LADM拉格朗日函数(A MATLAB program used to decompose a matrix into a low rank and a sparse matrix for the LADM Lagrange function)
VBLRMat
- 矩阵填充，低秩矩阵恢复，鲁棒PCA，低秩矩阵分解，跟大牛学习(Matrix Completion and Low rank matrix restoration)
LRT_Code
- 目标追踪。低秩稀疏编码学习，稀疏编码，sift(virsual tracking,Target tracking,,low rank sparse coding learning, sparse coding,,sift features)
RASL_Code
- 低秩矩阵恢复对齐， 论文 Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images(Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images)
chen2014
- LWI-SVD: Low-rank, Windowed, Incremental Singular Value Decompositions on Time-Evolving Data Sets
Graph-regularized low-rank-embedding
- 一组关于图正则的低秩嵌入算法的数值解法，可直接使用。
XZX
- 全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
LRR
- 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.)
lrr
- 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.)
RPCA.txt
- 低秩矩阵恢复代码，MATLAB语言实现，应用于图像前景和背景相分离。(Low rank matrix recovery code, implemented in MATLAB language, is applied to image foreground and background separation.)