596 search results - page 77 / 120 » Factorial Markov Random Fields |
ICMCS
2007
IEEE
15 years 6 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
ISCAS
2007
IEEE
15 years 6 months ago
2007
IEEE
—Two probabilistic-based models, namely the Ensemble-Dependent Matrix model [1][3] and the Markov Random Field model [2], have been proposed to deal with faults in nanoscale syst...
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CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
NIPS
2004
15 years 1 months ago
2004
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
UAI
2004
15 years 1 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...