305 search results - page 14 / 61 » Rate-Distortion via Markov Chain Monte Carlo |
111
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MA
2010
Springer
15 years 7 days ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
112
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SAC
2008
ACM
15 years 1 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
392
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
115
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ISBI
2006
IEEE
16 years 2 months ago
2006
IEEE
In this paper, we use marked point processes to perform an unsupervised extraction of the coronary tree from 2D X-ray angiography. These processes provide a rigorous framework bas...
81
Voted
SAC
2010
ACM
15 years 6 days ago
2010
ACM
Simulated tempering (ST) is an established Markov Chain Monte Carlo (MCMC) methodology for sampling from a multimodal density π(θ). The technique involves introducing an auxilia...