11 search results - page 2 / 3 » Approximations of Bayesian Networks through KL Minimisation |
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We consider a visual scene analysis scenario where objects (e.g. people, cars) pass through the viewing field of a static camera and need to be detected and segmented from the bac...
UAI
2003
13 years 7 months ago
2003
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
INFOCOM
2012
IEEE
11 years 8 months ago
2012
IEEE
—Market based spectrum trading has been extensively studied to realize efficient spectrum utilization in cognitive radio networks (CRNs). In this paper, we utilize the concept o...
JAIR
2006
13 years 5 months ago
2006
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
NIPS
2007
13 years 7 months ago
2007
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...