814 search results - page 20 / 163 » Graphical Models for Graph Matching |
TSP
2010
13 years 4 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
APSEC
2003
IEEE
14 years 1 months ago
2003
IEEE
Today, the syntax of visual specification languages such as UML is typically defined using meta-modelling techniques. However, this kind of syntax definition has drawbacks. In par...
CVPR
2004
IEEE
14 years 1 months ago
2004
IEEE
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
AAAI
2007
14 years 8 days ago
2007
The paper presents and evaluates the power of best-first search over AND/OR search spaces in graphical models. The main virtue of the AND/OR representation is its sensitivity to ...
UAI
2004
13 years 11 months ago
2004
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...