759 search results - page 12 / 152 » Structured Learning with Approximate Inference |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
AAAI
2011
12 years 7 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
JMLR
2012
11 years 9 months ago
2012
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...