644 search results - page 16 / 129 » Robust Bayesian Mixture Modelling |
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
JMLR
2002
13 years 9 months ago
2002
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
IPMI
2009
Springer
14 years 10 months ago
2009
Springer
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
ALT
2003
Springer
14 years 7 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...