187 search results - page 18 / 38 » Conditional random fields for multi-agent reinforcement lear... |
140
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
107
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EMNLP
2010
14 years 9 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
100
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ICIP
2007
IEEE
16 years 1 months ago
2007
IEEE
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
118
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EMMCVPR
2011
Springer
13 years 11 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
119
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ECCV
2008
Springer
16 years 1 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...