127 search results - page 22 / 26 » Markov Random Field Modelling of fMRI Data Using a Mean Fiel... |
131
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
100
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Image segmentation plays an important role in computer vision and image analysis. In this paper, the segmentation problem is formulated as a labeling problem under a probability m...
116
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NAACL
2010
15 years 12 days ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
118
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IBPRIA
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
120
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CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...