741 search results - page 31 / 149 » A Markov random field model for term dependencies |
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SIAMIS
2010
14 years 4 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
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PAMI
2007
14 years 9 months ago
2007
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...