CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
We are interested in a general alpha matting approach for the simultaneous extraction of multiple image layers; each layer may have disjoint segments for material matting not limi...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We present a generalized subgraph preconditioning (GSP) technique to solve large-scale bundle adjustment problems efficiently. In contrast with previous work which uses either di...
PPSC
1993
13 years 5 months ago
1993
We will present a matrix framework for the conjugate gradient methods, which is expressed in terms of whole vector sequences instead of single vectors or initial parts of sequence...
SPAA
1990
ACM
13 years 8 months ago
1990
ACM
We introduce a new preconditioner for solving a symmetric Toeplitz system of equations by the conjugate gradient method. This choice leads to an algorithm which is particularly sui...
ICCSA
2003
Springer
13 years 9 months ago
2003
Springer
The finite difference discretization of the Poisson equation in three dimensions results in a large, sparse, and highly structured system of linear equations. This prototype prob...
NAA
2004
Springer
13 years 10 months ago
2004
Springer
It was recently shown that block-circulant preconditioners applied to a conjugate gradient method used to solve structured sparse linear systems arising from 2D or 3D elliptic prob...
ISQED
2005
IEEE
13 years 10 months ago
2005
IEEE
Adding on-chip decoupling capacitors (decaps) is an effective way to reduce voltage noise in power/ground networks and ensure robust power delivery. In this paper, we present a fa...
STOC
2007
ACM
14 years 4 months ago
2007
ACM
We consider the problem of solving a symmetric, positive definite system of linear equations. The most well-known and widely-used method for solving such systems is the preconditi...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...