218 search results - page 9 / 44 » A Theory of Mean Field Approximation |
CORR
2002
Springer
14 years 10 months ago
2002
Springer
We study xpoints of operators on lattices. To this end we introduce the notion of an approximation of an operator. We order approximations by means of a precision ordering. We sho...
ICONIP
2004
14 years 11 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
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...