104 search results - page 5 / 21 » A Hierarchical Bayesian Language Model Based On Pitman-Yor P... |
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
PAMI
2007
14 years 9 months ago
2007
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
76
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NIPS
2008
14 years 11 months ago
2008
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
85
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ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...