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» A Markov random field model for term dependencies
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ICPR
2002
IEEE
15 years 10 months ago
A General Multichannel Image Restoration Method Using Compound Models
In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is...
Rafael Molina, Javier Mateos, Aggelos K. Katsaggel...
RECOMB
2005
Springer
15 years 10 months ago
Towards an Integrated Protein-Protein Interaction Network
Abstract. Protein-protein interactions play a major role in most cellular processes. Thus, the challenge of identifying the full repertoire of interacting proteins in the cell is o...
Ariel Jaimovich, Gal Elidan, Hanah Margalit, Nir F...
TMM
2002
104views more  TMM 2002»
14 years 9 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
15 years 10 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
QEST
2007
IEEE
15 years 4 months ago
A Generic Mean Field Convergence Result for Systems of Interacting Objects
We consider a model for interacting objects, where the evolution of each object is given by a finite state Markov chain, whose transition matrix depends on the present and the pa...
Jean-Yves Le Boudec, David McDonald, Jochen Mundin...