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CVIU
2007
154views more  CVIU 2007»
15 years 20 days 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
2006
169views more  JMLR 2006»
15 years 20 days ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
108
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BMCBI
2010
185views more  BMCBI 2010»
15 years 25 days ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
CVPR
2004
IEEE
16 years 2 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
106
Voted
BMCBI
2010
170views more  BMCBI 2010»
15 years 25 days ago
Analysis of lifestyle and metabolic predictors of visceral obesity with Bayesian Networks
Background: The aim of this study was to provide a framework for the analysis of visceral obesity and its determinants in women, where complex inter-relationships are observed amo...
Alex Aussem, André Tchernof, Sergio Rodrigu...