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CVPR
2004
IEEE
14 years 12 months ago
Graphical Models for Graph Matching
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler mo...
Dante Augusto Couto Barone, Terry Caelli, Tib&eacu...
CORR
2011
Springer
144views Education» more  CORR 2011»
13 years 4 months ago
On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function
— Computing the partition function and the marginals of a global probability distribution are two important issues in any probabilistic inference problem. In a previous work, we ...
Mehdi Molkaraie, Payam Pakzad
ICML
2007
IEEE
14 years 10 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson
IROS
2008
IEEE
146views Robotics» more  IROS 2008»
14 years 4 months ago
Incremental vision-based topological SLAM
— In robotics, appearance-based topological map building consists in infering the topology of the environment explored by a robot from its sensor measurements. In this paper, we ...
Adrien Angeli, Stéphane Doncieux, Jean-Arca...
ACL
2007
13 years 11 months ago
Constituent Parsing with Incremental Sigmoid Belief Networks
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
Ivan Titov, James Henderson