83 search results - page 10 / 17 » Walk-Sums and Belief Propagation in Gaussian Graphical Model... |
110
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EMNLP
2009
14 years 7 months ago
2009
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
JMLR
2010
14 years 4 months ago
2010
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
CVPR
2004
IEEE
15 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...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
106
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...