1.
A Load-Balancing Algorithm for Sparse Matrix-Vector Multiplication on Parallel Computers
并行计算稀疏矩阵乘以向量的负载平衡算法
2.
Load balancing and communication optimization for parallel sparse matrix-vector multiplication
并行稀疏矩阵与向量乘的负载平衡和通信优化
3.
How do I multiply a matrix by a vector?
我怎么用一个矩阵乘以一个向量呢？
4.
Time-frequency Spectra Recognition Based on Sparse Non-negative Matrix Factorization and Support Vector Machine
基于稀疏性非负矩阵分解和支持向量机的时频图像识别
5.
This paper introduces the basic idea and algorithm of sparse Matrix multiplication by using incompact storage method.
介绍了对稀疏矩阵进行压缩存储时，稀疏矩阵相乘运算的基本思想和算法。
6.
So that matrix and that vector, is (12, 7).
所以那个矩阵和那个向量（相乘得到的）是（12，7）。
7.
Fast pruning algorithm for designing sparse least squares support vector machine
构造稀疏最小二乘支持向量机的快速剪枝算法
8.
Thin wall tube method based sparse least squares support vector regression
基于薄壁管法的稀疏最小二乘支持向量回归机
9.
New sparse least squares support vector machine algorithm
一种新的最小二乘支持向量机稀疏化算法
10.
Simulation and Application of Three-Phase Sparse Matrix Converter;
三相稀疏矩阵变换器仿真及应用研究
11.
Computing Weight Vector of Comparison Matrix in AHP based on Improved Least Square
AHP判断矩阵权向量的改进最小二乘求解
12.
Optical vector-matrix multiplication based on ternary optical processor
基于三值逻辑光学处理器实现向量矩阵乘法
13.
ONLINE PARSIMONIOUS LEAST SQUARES SUPPORT VECTOR REGRESSION AND ITS APPLICATION
在线稀疏最小二乘支持向量回归机及其应用(英文)
14.
Density Weighted Pruning Method for Sparse Least Squares Support Vector Machines
一种基于密度加权的最小二乘支持向量机稀疏化算法
15.
Improved pruning algorithms for sparse least squares support vector regression machine
关于稀疏最小二乘支持向量回归机的改进剪枝算法
16.
Sparse Least Squares Support Vector Regression Machine Based on the Scale of Linear Independency
基于线性无关度的稀疏最小二乘支持向量回归机
17.
Realization of an Iterative Criterion for-matrices Based on the Storage Structure of Sparse Matrices
基于稀疏矩阵存储结构的H-矩阵迭代判定算法的实现
18.
Storage and processing of document images based on sparse matrices are discussed.
讨论基于稀疏矩阵的文档图像存储及处理方法.