37 search results - page 1 / 8 » Markov Chain Monte Carlo Combined with Deterministic Methods... |
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
ECCV
2008
Springer
14 years 2 months ago
2008
Springer
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
JMLR
2010
12 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...
UAI
2001
13 years 5 months ago
2001
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...