搜索资源列表
spgs
- 用途：用向量(稀疏存储)形式的Gauss-Seidel迭代解线性方程组Ax=b ％ 格式: x=spgs(A,b，x0,e,N),A为系数矩阵，b为右端向量，x返回解向量。 ％ x0为初值向量(默认原点)，e为精度(默认1e-4),设置迭代次数上限以防发散(默 ％ 认500)。 -purposes : with Vector (sparse storage) form of Gauss - Seidel iterative solution of linear equations
SparseVector
- Fast and memory efficient implementation of a sparse vector class in C++, including routines for platform-independent binary persistence.
ass3
- 稀疏向量的C++实现，Cygwin编译通过-sparse vector implemention
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma
vector_matrix_multiplication
- 稀疏矩阵与向量相乘 算法 C语言 并行计算-Sparse matrix and vector multiplication
Sparse Lab 200-Core
- 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。-In this paper, we propose a novel method for solv- ing single-image super-resoluti
smvppp
- Fast sparse matrix vector product
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
Sparse-Bayesian-Learning-and-rvm
- 稀疏贝叶斯学习和相关向量回归，大家可以看一下，人工智能中的应用-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at...
Discriminant-sparse-neighborhood
- 鉴别向量比较牛叉的论文，最近发的。值得大家借鉴，拿出来特此分享一-Identify cattle fork vector papers recently issued. Worth drawing out hereby share under
alps
- ALPS folder 2. generate_matrix.m: generates measurement matrix. 3. generate_vector.m: generates sparse vector. 4. Report_bibtex.tex: bibtex reference for citing. 5. ALPSdemo.m: demo of ALPS.
Novel-Sparse-Matrix-Converter
- 一种新型的三相甚稀疏矩阵变换器技术文档，包括其引出，基本原理，空间矢量调制等。-A new three-phase matrix converter is very sparse technical documentation, including its leads, the basic principles of space vector modulation.
OMP
- 通过正交匹配追踪算法，实现迭代得到稀疏向量-By orthogonal matching pursuit algorithm, iteration sparse vector
distributedtar-eusipco-2008
- We propose an approximation framework for distributed target localization in sensor networks. We represent the unknown target positions on a location grid as a sparse vector, whose support encodes the multiple target locations. The location v
sparse-representation-pdf
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
project
- This program gives a program which follows the naive bayes classifier to classify the processed reviews.This used in sentiment classification.n document classification, a bag of words is a sparse vector of occurrence counts of words that is, a sparse
myomp
- 应用正交匹配追踪求解等式y=Ax,要求： 待求x是稀疏向量，A为高斯随机矩阵 调用形式：x = myomp(A,y,err) A -线性投影矩阵； y -投影向量 err -所需精度-apply Orthogonal matching pursuit to solve the equation y = Ax, requirements: the unknown x is sparse vector, A is a Gaussian random. ca
Low-Coherence-Sensing-Matrices
- A method for constructing low coherence sensing matrices based on best spherical codes is proposed. Such matrices are applied in Compressed Sensing (CS) to obtain measurements of a sparse vector. With the means of CS, it is possible to recons
RONGYUZIDIAN
- 利用构造冗余字典的方法实现数据分类问题，将数据进行稀疏分解，通过稀疏向量和残差判断故障类型-The method of using structural redundancy dictionary for data classification problem, the data are sparse decomposition, through sparse vector and residual judge fault type
SPGL1: A solver for large-scale sparse
- % SPGL1: A solver for large-scale sparse reconstruction % Version 1.7 (May 20, 2009) % % Files % spg_bp - Solve the basis pursuit (BP) problem % spg_bpdn - Solve the basis pursuit denoise (BPDN) problem % spg_lasso