7 search results - page 1 / 2 » Training Products of Experts by Minimizing Contrastive Diver... |
NECO
2002
13 years 4 months ago
2002
COLT
2007
Springer
13 years 11 months 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...
CVPR
2009
IEEE
15 years 11 days 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 ...
CVPR
2009
IEEE
15 years 11 days 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...
ICCV
2005
IEEE
13 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...