513 search results - page 7 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
MICCAI
2008
Springer
14 years 9 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
TIP
2008
13 years 7 months ago
2008
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
TIP
2010
13 years 2 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
ESANN
2004
13 years 9 months ago
2004
Abstract. The regularized Mahalanobis distance is proposed in the framework of finite mixture models to avoid commonly faced numerical difficulties encountered with EM. Its princip...