搜索资源列表
sparsity
- This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage required for a matrix operation such as factoring S into its Cholesky decomposition
reflections
- 文章User Assisted Separation of Reflections from a Single Image Using a Sparsity Priority的实现算法
CRC
- Sparse Representation or Collaborative Representation: Which Helps Face Recognition? This code devotes to analyze the working mechanism of SRC, and indicates that it is the CR but not the l1-norm sparsity that makes SRC
sparsity
- This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage required for a matrix operation such as factoring S into its Cholesky decomposition
toolbox_sparsity
- 稀疏性工具箱函数集,比较全面,有测试函数,可用,很好-Toolbox Sparsity function set, a more comprehensive, there are test functions, usable, very good
reflections
- 文章User Assisted Separation of Reflections from a Single Image Using a Sparsity Priority的实现算法-Article User Assisted Separation of Reflections from a Single Image Using a Sparsity Priority realization algorithm
N-R
- 将用matlab编译的N－R法用于潮流计算是以导纳矩阵为基础的，由于利用了导纳矩阵的对称性、稀疏性及节点编号顺序优化等技巧，使N－R法在收敛性、占用内存、计算速度方面的优点都超过了阻抗法，成为六十年代末期以后普遍采用的方法。-Matlab compiler will use the N-R method for power flow calculation is based on admittance matrix-based, due
superlu_3.1.tar
- SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran.
GroupSparseBox_V2
- Greedy Group Sparsity Promoting Optmization
hqp-1.9.5.tar
- HQP is a solver for nonlinearly constrained large-scale optimization. It is intended for problems with sufficient regular sparsity structure. Such optimization problems arise e.g. from the numerical treatment of optimal
Basu-2008-10-02
- Implementing Tabu Search to Exploit Sparsity in ATSP Instances
Graphic
- 基于图模型的图像分割并行算法研究与实现,该方案通过网格划分来实现相似度矩阵的并行计算同时考虑到相似度矩阵的稀疏性和矩阵向量乘运算的内在并行性, 在该方案中本文设计并行算法来求解特征值问题在环境下的实验结果表明, 该并行方案是提高图模型分割方法实时性的有效途径.-Image segmentation based on graph model of parallel algorithm and implementation of the p
overcomplete
- 收集的几篇关于稀疏性号冗余字典建立的中文文献，对初学者很有参考价值。-Collection of several dictionaries on the sparsity of the establishment of redundant number of Chinese literature, a good reference for beginners.
Sparse_ar
- sparsity preserving projections (SPP)方法，根据论文《sparsity preserving projections with applications to face recognition》使用AR人脸数据库-sparsity preserving projections (SPP)method, according to the paper "sparsity preserving projec
Sparsity-Collaborative-Track
- 基于稀疏表示的目标跟踪,对于稀疏表示应用于图像处理的同志可是一个借鉴。-Robust Object Tracking via Sparsity-based Collaborative Model
Structured-Sparsity-Models
- 用于混响背景语音分离的结构稀疏模型(Strutured sparisty model)方法-To further tackle the ambiguity of the reflection ratios, we propose a novel formulation of the reverberation model and estimate the absorption coefficients through a c
MP
- MP and omp and GOMP and MMV is algorithm recovery for sparsity peoblem.
examples
- 求解满足约束的稀疏化矩阵，使用L1范数进行凸松弛转化为一个凸优化问题(to solve the sparsity matrix)
Sparsity_rW
- noise sparsity estimation with rRW algorithm