13 search results - page 1 / 3 » Approximate Inference in Credal Networks by Variational Mean... |
ISIPTA
2005
IEEE
14 years 4 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
13 years 11 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 5 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 5 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
13 years 11 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 ...