203 search results - page 33 / 41 » Inference for Order Reduction in Markov Random Fields |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
CVPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
ACISICIS
2007
IEEE
14 years 1 months ago
2007
IEEE
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
EMMCVPR
2005
Springer
14 years 26 days ago
2005
Springer
In this paper, we consider the problem of color restoration using statistical priors. This is applied to color recovery for underwater images, using an energy minimization formulat...
JAIR
2006
13 years 7 months ago
2006
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...