190 search results - page 12 / 38 » On solving integral equations using Markov chain Monte Carlo... |
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
96
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ICIP
2010
IEEE
14 years 9 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...
139
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ECCV
2002
Springer
16 years 1 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
CSDA
2010
14 years 11 months ago
2010
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
108
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JMLR
2010
14 years 6 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...