454 search results - page 43 / 91 » Bayesian learning of measurement and structural models |
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
CVPR
2004
IEEE
14 years 11 months ago
2004
IEEE
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
NIPS
1998
13 years 10 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
JMLR
2010
13 years 3 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...