搜索资源列表
SparseMatrix
- c++ 稀疏矩阵 功能包括访问元素、删除元素、添加元素，输出元素。矩阵转置。使用模板-c++ features including access to the sparse matrix elements, delete elements, add elements, output elements. Matrix transposition. Templates
3
- 数据结构经典制作内容--- 稀疏矩阵的建立十字链表表示稀疏矩阵- 1.稀疏矩阵的加法运算 2.稀疏矩阵乘法运算-- 3.稀疏矩阵的转置-- 4.退出功能）-The contents of the data structure--- the classic production create the sparse matrix sparse matrix that cross list- 1. Sparse matrix addition operation 2. Sparse
shuju5
- 熟悉稀疏矩阵的“三元组表”和“十字链表”存储结构，运用它们进行矩阵简单运算处理-Familiar with the sparse matrix of the " triple" and the " cross linked" storage structure, the use of simple computing them matrix
CSlearning
- CS理论里观测矩阵的优化算法以及训练稀疏字典的算法-optimization of measurement matrix and dictionary learning for sparse approximations
tree
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
sgLasso
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
Sparse_Vision
- 基于稀疏表示的计算机视觉和模式识别，主要介绍了利用稀疏表示的原理来处理计算视觉领域的去噪，识别，超分辨率重建等问题-Sparse Representation For Computer Vision and Pattern Recognition
1
- 稀疏表达：向量、矩阵与张量.doc，对于学习压缩感知、稀疏表示的人有帮助-Sparse expression: Vector, matrix and tensor. Doc, for learning compressed sensing, sparse representation of the people to help
MCA2aaBcr3.8
- 形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。-MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.
MP
- 经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。-The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered
dct
- 在离散余弦变换下实现信号的稀疏分解，matlab环境下可以简单实现-realize sparse Decomposition with dct
OMP
- 正交匹配跟踪算法: 是贪婪算法中稀疏求解的方法-Orthogonal matching pursuit algorithm: Solving Sparse
KSVD_Matlab_ToolBox
- 应用于稀疏表示的KVSD算法，MABLAB-KVSD algorithm applied to sparse representation, MABLAB
xishubiaozaichaoliujisuanzhong
- 本文简单介绍了一些常用的稀疏技术，重点讨论了稀疏表及其改进型，比较了它们的优缺点并给出了应用实例。-This paper briefly describes some of the commonly used sparse technology, focusing on the sparse tables and improved, compared with their advantages and disadvantages and gives examples.
Matlab-for-Image-Representation
- 图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
crosslink
- 本代码是根据数据结构的只是，采用C语言编译代码，用十字链表实现稀疏矩阵相加-This code is based on data structure only, the use of C language compiled code, with the sum of cross-linked to achieve sparse matrix
KSVD_Matlab_ToolBox
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, et
lunwen
- 关于图像稀疏表示的鲁棒掌纹处理，在国内很少有基于稀疏的掌纹处理文章-Robust sparse representation on the palm print image processing, very few in the country' s palm with posts based on sparse
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
Sparse-and-Redundant-Representations
- Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster