522 search results - page 41 / 105 » Query segmentation using conditional random fields |
144
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ICDE
2011
IEEE
14 years 4 months ago
2011
IEEE
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
118
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ECCV
2008
Springer
16 years 2 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
143
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VDB
1998
15 years 1 months ago
1998
This paper focuses on the retrieval of complex images based on their textural content. We use GMRF for texture discrimination and a region-growing algorithm for texture segmentati...
107
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TSP
2008
15 years 13 days ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
120
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BMVC
2010
14 years 10 months ago
2010
The problems of dense stereo reconstruction and object class segmentation can both be formulated as Conditional Random Field based labelling problems, in which every pixel in the ...