1427 search results - page 154 / 286 » Markov Random Field Models in Computer Vision |
114
click to vote
AAAI
1990
15 years 2 months ago
1990
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
113
click to vote
TIP
2010
14 years 8 months ago
2010
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...
134
click to vote
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In this work we present a unified view on Markov random fields and recently proposed continuous tight convex relaxations for multi-label assignment in the image plane. These rel...
182
Voted
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
We recast the Cosegmentation problem using Random Walker (RW) segmentation as the core segmentation algorithm, rather than the traditional MRF approach adopted in the literature s...
100
click to vote
ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
One of disadvantages of Hidden Markov Models (HMMs) is its low resistance to unexpected noises among observation sequences. Unexpected noises in a sequence usually "break&quo...