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ECCV
2006
Springer
16 years 10 hour ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann
ICIP
2001
IEEE
15 years 11 months ago
Bayesian resolution-enhancement framework for transform-coded video
Resolution enhancement for video sequences has always been an attractive application in multimedia signal processing. "Superresolution" methods, that combine non-redunda...
Bahadir K. Gunturk, Yucel Altunbasak, Russell M. M...
SIBGRAPI
2008
IEEE
15 years 4 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
AUSAI
2006
Springer
15 years 1 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
NIPS
2008
14 years 11 months ago
Bayesian Synchronous Grammar Induction
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
Phil Blunsom, Trevor Cohn, Miles Osborne