71 search results - page 10 / 15 » Sparse Signal Recovery Using Markov Random Fields |
TSP
2008
13 years 7 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
IPMI
2005
Springer
14 years 8 months ago
2005
Springer
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
IVC
2008
13 years 7 months ago
2008
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing result...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A fast and robust auto-sorting method for image ordering based on Markov Random Fields (MRF) is proposed. We present a specific MRF model for the ordering problem and use pairwis...