29918 search results - page 25 / 5984 » A computational model of belief |
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Belief propagation methods are the state-of-the-art with multi-sensor state localization problems. However, when localization applications have to deal with multi-modality sensors...
83
Voted
ACL
2010
14 years 7 months ago
2010
Quantifying the semantic relevance between questions and their candidate answers is essential to answer detection in social media corpora. In this paper, a deep belief network is ...
101
Voted
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
49
Voted
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
14 years 11 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...