Parallelizable Sampling of Markov Random Fields.

James Martens Ilya Sutskever

Published in: AISTATS (2010)

Keyphrases

markov random field
belief propagation
pairwise
parameter estimation
mrf model
random fields
higher order
maximum a posteriori

energy function
graph cuts
energy minimization
image segmentation
low level vision
image restoration
mrf models
potential functions

conditional random fields
potts model
partition function
efficient inference
loopy belief propagation
random sampling
message passing
iterative conditional

piecewise constant functions
textured images
markov chain monte carlo
approximate inference
monte carlo
map inference
sample size
label field