417 search results - page 19 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ECCV
2002
Springer
16 years 1 months ago
2002
Springer
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...
ICDAR
2007
IEEE
15 years 6 months ago
2007
IEEE
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
TMI
1998
14 years 11 months ago
1998
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
124
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JMLR
2008
14 years 11 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
102
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ICPR
2000
IEEE
16 years 28 days ago
2000
IEEE
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...