741 search results - page 55 / 149 » A Markov random field model for term dependencies |
108
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IJCV
2008
14 years 9 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
NAACL
2010
14 years 7 months ago
2010
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
117
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ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
COOPIS
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper focuses on the development of a principled methodology for the dependability analysis of composite Web services. The first step of the methodology involves a UML represe...