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A Bayesian Nonparametric Approach to Image Super-resolution
Bayesian nonparametrics factor analysis dictionary learning variational inference gibbs sampling stochastic optimization,image super-resolution.
2012/11/26
Super-resolution methods form high-resolution images from low-resolution images. In this paper, we develop a new Bayesian nonparametric model for super-resolution. Our method uses a beta-Bernoulli pro...
Nonparametric Bayesian methods for one-dimensional diffusion models: an overview of recent developments
Nonparametric Bayesian methods one-dimensional diffusion models overview of recent developments
2012/11/23
In this paper we review recently developed methods for nonparametric Bayesian inference for one-dimensional diffusion models. We discuss different possible prior distributions, computational issues, a...
Bayes procedures for adaptive inference in nonparametric inverse problems
Bayes procedures adaptive inference nonparametric inverse problems
2012/11/22
We study empirical and hierarchical Bayes approaches to the problem of estimating an infinite-dimensional parameter in mildly ill-posed inverse problems. We consider a class of prior distributions ind...