84 search results - page 7 / 17 » Utilizing Variational Optimization to Learn Markov Random Fi... |
108
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Recently, models based on conditional random fields (CRF) have produced promising results on labeling sequential data in several scientific fields. However, in the vision task of c...
BMVC
2010
14 years 7 months ago
2010
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...
100
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UAI
2008
14 years 11 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...