13 search results - page 1 / 3 » Approximate Inference in Credal Networks by Variational Mean... |
ISIPTA
2005
IEEE
14 years 10 months ago
2005
IEEE
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
IJAR
2008
14 years 4 months ago
2008
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...
JMLR
2010
13 years 11 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
ICASSP
2009
IEEE
14 years 11 months ago
2009
IEEE
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
CVIU
2006
14 years 4 months ago
2006
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...