7 search results - page 1 / 2 » Training Products of Experts by Minimizing Contrastive Diver... |
100
Voted
NECO
2002
15 years 5 months ago
2002
211
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COLT
2007
Springer
16 years 2 days ago
2007
Springer
Abstract. We study online regret minimization algorithms in a bicriteria setting, examining not only the standard notion of regret to the best expert, but also the regret to the av...
239
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CVPR
2009
IEEE
17 years 1 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 ...
194
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CVPR
2009
IEEE
17 years 1 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...
176
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...