37 search results - page 2 / 8 » Markov Chain Monte Carlo Combined with Deterministic Methods... |
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
SIAMIS
2010
12 years 11 months ago
2010
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
NIPS
2008
13 years 6 months ago
2008
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...