41 search results - page 6 / 9 » A parametric mixture model for clustering multivariate binar... |
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection cri...
CLASSIFICATION
2006
13 years 8 months ago
2006
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
ICTAI
2010
IEEE
13 years 5 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
EMMCVPR
2007
Springer
14 years 2 months ago
2007
Springer
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...