216 search results - page 12 / 44 » Learning in Gaussian Markov random fields |
ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
111
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CISS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
103
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a p...
ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
102
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ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...