69 search results - page 4 / 14 » A New Approach for Accelerating the Sparse Matrix-Vector Mul... |
SSIAI
2000
IEEE
13 years 10 months ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
SIAMSC
2010
13 years 4 months ago
2010
A recursive acceleration method is proposed for multiplicative multilevel aggregation algorithms that calculate the stationary probability vector of large, sparse, and irreducible ...
CP
2003
Springer
13 years 11 months ago
2003
Springer
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
JMLR
2010
13 years 17 days ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...