搜索资源列表
gmres_m
- gmres算法的一个特殊形式，用来求解大型稀疏矩阵方程-gmres algorithm a special form used to solve large sparse matrix equation
DCVS2009_Kang
- 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
guided-filter-code
- 本文提出了一种滤波源码来简化图像抠图中的一个大型稀疏矩阵算法，从而优化了算法，提高了效率。-This paper presents a filter in the source code to simplify the image matting, a large sparse matrix algorithm, to optimize the algorithm and improve efficiency.
l1_ls_matlab_(new-2008)
- l1_ls 是一个目前最好的求解稀疏矩阵方程解的算法之一，这是作者发布的最新 MATLAB 源代码。-l1_ls: A Matlab solver for l1-regularized least squares problems. BETA version, May 10 2008 COPYRIGHT (c) 2007 Kwangmoo Koh, Seung-Jean Kim and Stephen Boyd. Permission to use, copy,
DISCRIMINANTSPARSENONNEGATIVEMATRIXFACTORIZATION.r
- 判别稀疏非负矩阵分解，提出这个新算法，来进行人脸识别，比传统的NMF和一些其他的扩展算法效果好-Sparse non-negative matrix factorization judge proposed the new algorithm for face recognition, than the traditional extension of NMF algorithm and some other good results
irbleigs
- lanczos算法用来计算大型稀疏矩阵的最大最小本征值及相应的本征矢量。-lanczos algebra is used to calculate the maximum and minimum eigenvalue and eigenvector of the matrix
snmf
- 稀疏非负矩阵分解，稀疏非负矩阵分解（SNMF）在线形稀疏编码理论的基础上将大量数据分解成正稀疏分量的一种算法-SNMF，Sparse non-negative matrix factorization
demo_nnls
- PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建
spare_matrix
- 稀疏矩阵的matlab算法，以及稀疏矩阵存储技术的介绍。-Matlab sparse matrix algorithms, and sparse matrix storage technology introduction.
sparse_representation
- 该算法主要针对稀疏矩阵的表示，适合初学者进行学习应用-The algorithm for sparse matrix suitable for beginners to learn the application
MaYiICIG-Algorithm
- 低秩矩阵与稀疏表示算法，详细的说明了低秩矩阵与稀疏表示的算法原理-The low-rank matrix with sparse algorithm, a detailed descr iption of the low-rank matrix with sparse representation algorithm is
WCMSR
- 宽带信号协方差矩阵稀疏表示DOA估计算法仿真-The broadband signal covariance matrix sparse said DOA estimation algorithm simulation
ysgz
- 对256×256大小的8bit灰度lena图像进行仿真计算，稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构算法采用OMP（正交匹配追踪）算法。 -256256 size 8bit grayscale lena image simulation, sparse matrix DCT matrix, and observation matrix using Gaussian random matrix reconstruction algorithm using OMP (orthogo
clustering_coefficients
- 关于复杂网络的聚类系数算法，用matlab计算，矩阵为稀疏矩阵。-clustering_coefficients(A) returns the clustering coefficients for all vertices in A. The clustering coefficient is the ratio of the number of edges between a vertex s neighbors to the total possible number of edges
simplex-matlab(1)
- 实现数值分析中单纯形法改进方法的matlab代码，即改进单纯形法算法，能够实现大型稀疏矩阵的迭代，这是3/3-Numerical analysis to achieve improved method simplex method matlab code that modified simplex method algorithm, to achieve large sparse matrix iteration, which is 3/3
simplex-matlab(2)
- 实现数值分析中单纯形法改进方法的matlab代码，即改进单纯形法算法，能够实现大型稀疏矩阵的迭代，代码分为三分。这是2/3-Numerical analysis to achieve improved method simplex method matlab code that modified simplex method algorithm, to achieve large sparse matrix iteration, the code is divided into thirds.
simplex-matlab(3)
- 实现数值分析中单纯形法改进方法的matlab代码，即改进单纯形法算法，能够实现大型稀疏矩阵的迭代，这是3/3-Numerical analysis to achieve improved method simplex method matlab code that modified simplex method algorithm, to achieve large sparse matrix iteration, which is 3/3 ..
Report_Proj2_jiangchen_10212020018
- 设计一个程序实现基于Minimum Degree算法的稀疏矩阵Reordering算法。-Design a program based on sparse matrix algorithms Minimum Degree Reordering algorithms.
ap-clustering
- 2007在science杂志发表的一种大数据处理的聚类算法 仿射传播算法 有普通版和稀疏矩阵两种-ap cluster
OSL0
- OSL0稀疏重构算法 SL0的优化版 输入: y:测量值向量 A:测量矩阵 A_pinv:A的广义逆 输出: xr:重构信号 实现信号的压缩重构-OSL0 u7A00 u758F u91CD u6784 u7B97 u6CD5 SL0 u7684 u4F18 u5316 u7248 u8F93 u5165: y: u6D4B u91CF u503C u5411 u91CF A: u6D4B u91CF u77E9 u9635