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» The Convergence of Contrastive Divergences
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SAC
2008
ACM
15 years 5 months ago
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
Paul Fearnhead
MOC
2010
15 years 26 days ago
A new elasticity element made for enforcing weak stress symmetry
Abstract. We introduce a new mixed method for linear elasticity. The novelty is a simplicial element for the approximate stress. For every positive integer k, the row-wise divergen...
Bernardo Cockburn, Jayadeep Gopalakrishnan, Johnny...
200
Voted
CVPR
2009
IEEE
17 years 1 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
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...
Kegan G. G. Samuel, Marshall F. Tappen
242
Voted
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Learning Real-Time MRF Inference for Image Denoising
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 ...
Adrian Barbu (Florida State University)
CIDM
2007
IEEE
16 years 13 days ago
One-shot Collaborative Filtering
— We propose a new one-shot collaborative filtering method. In contrast to the conventional methods, which predict unobserved ratings individually and independently, our method ...
Shuhei Kuwata, Naonori Ueda