124 search results - page 3 / 25 » Iterative Feature Selection in Gaussian Mixture Clustering w... |
ICDAR
2009
IEEE
14 years 1 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
PRL
2006
13 years 6 months ago
2006
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
PAMI
1998
13 years 5 months ago
1998
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...