62 search results - page 4 / 13 » Parameter Estimation in TV Image Restoration Using Variation... |
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we propose an approximation of the relative phase probability function (RP pdf) and use it to find a non-iterative estimator for the concentration parameter of the...
NECO
2008
13 years 7 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
CSDA
2007
13 years 7 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...