216 search results - page 12 / 44 » Learning in Gaussian Markov random fields |
121
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ICIP
2006
IEEE
16 years 5 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...
148
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CISS
2008
IEEE
15 years 10 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...
140
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CVPR
2004
IEEE
16 years 5 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...
134
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ICIP
2008
IEEE
16 years 5 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...
141
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ICML
2007
IEEE
16 years 4 months 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...