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GEOINFO
2007
13 years 10 months ago
Model Selection for a Class of Spatio-temporal Models for Areal Data
Abstract. We present a method to perform model selection based on predictive density in a class of spatio-temporal dynamic generalized linear models for areal data. These models as...
Juan C. Vivar, Marco A. R. Ferreira
CVIU
2007
154views more  CVIU 2007»
13 years 8 months ago
Bayesian stereo matching
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
Li Cheng, Terry Caelli
JMLR
2010
145views more  JMLR 2010»
13 years 3 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 11 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
ISAAC
2003
Springer
101views Algorithms» more  ISAAC 2003»
14 years 1 months ago
Rapid Mixing of Several Markov Chains for a Hard-Core Model
The mixing properties of several Markov chains to sample from configurations of a hard-core model have been examined. The model is familiar in the statistical physics of the liqui...
Ravi Kannan, Michael W. Mahoney, Ravi Montenegro