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JMLR
2008
159views more  JMLR 2008»
13 years 11 months ago
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
TIT
1998
78views more  TIT 1998»
13 years 10 months ago
Stationary Markov Random Fields on a Finite Rectangular Lattice
—This paper provides a complete characterization of stationary Markov random fields on a finite rectangular (nontoroidal) lattice in the basic case of a second-order neighborho...
Fréderic Champagnat, Jérôme Id...
NHM
2010
71views more  NHM 2010»
13 years 5 months ago
Non-existence of positive stationary solutions for a class of semi-linear PDEs with random coefficients
We consider a so-called random obstacle model for the motion of a hypersurface through a field of random obstacles, driven by a constant driving field. The resulting semilinear par...
Jérôme Coville, Nicolas Dirr, Stephan...
ICASSP
2007
IEEE
14 years 5 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung
AAAI
2008
14 years 1 months ago
Constrained Classification on Structured Data
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...