26 search results - page 1 / 6 » FPGA-Based Vector Processing for Solving Sparse Sets of Equa... |
FCCM
2005
IEEE
13 years 10 months ago
2005
IEEE
The solution to a set of sparse linear equations Ax = b, where A is an n×n sparse matrix and b is an n-element vector, can be obtained using the W-matrix method. An enhanced vect...
ESANN
2008
13 years 6 months ago
2008
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
PVM
1999
Springer
13 years 9 months ago
1999
Springer
The problem of solving sparse Systems of Linear Algebraic Equations (SLAE) by parallel Monte Carlo numerical methods is considered. The almost optimal Monte Carlo algorithms are pr...