2299 search results - page 321 / 460 » Inference and Learning in Planning |
167
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JMLR
2010
14 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...
147
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JMLR
2010
14 years 11 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
163
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JMLR
2010
14 years 11 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
151
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...
184
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...