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» Bayesian Image Segmentation Using Wavelet-Based Priors
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ICASSP
2011
IEEE
14 years 9 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
ICASSP
2009
IEEE
16 years 20 days ago
Bayesian sparse image reconstruction for MRFM
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
171
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ICIP
2006
IEEE
16 years 7 months ago
Region-Based Active Contour with Noise and Shape Priors
In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of exponential family as a prio...
Eric Saloux, François Lecellier, Gilles Aub...
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 6 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
ICASSP
2008
IEEE
16 years 11 days ago
Generalized Gaussian Markov random field image restoration using variational distribution approximation
In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field prior utilizing variational distribution a...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...