80 search results - page 1 / 16 » The Complexity of Distinguishing Markov Random Fields |
APPROX
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
BMCBI
2007
13 years 4 months ago
2007
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
TSP
2010
12 years 11 months ago
2010
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...