606 search results - page 57 / 122 » Combinatorial Markov Random Fields |
115
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
157
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
149
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
122
Voted
MICCAI
2008
Springer
16 years 4 months ago
2008
Springer
Nonrigid registration of contrast-enhanced MR images is a difficult problem due to the change in pixel intensity caused by the washin and wash-out of the contrast agent. In this pa...
110
click to vote
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...