251 search results - page 13 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
ECML
2005
Springer
15 years 3 months ago
2005
Springer
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
ICA
2007
Springer
15 years 3 months ago
2007
Springer
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by ...
71
Voted
EMMCVPR
1999
Springer
15 years 2 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
83
Voted
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
ICIP
2007
IEEE
15 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...