15 search results - page 2 / 3 » View synthesis based on Conditional Random Fields and graph ... |
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
EMMCVPR
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...