71 search results - page 1 / 15 » A particular Gaussian mixture model for clustering and its a... |
SOCO
2008
Springer
13 years 4 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
In this work, the problem of the estimation of parameters in case of mixtures of models composed by the sum of multiple Gaussians is considered. It will be shown how this estimati...