9 search results - page 1 / 2 » Information Theoretic Expectation Maximization Based Gaussia... |
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
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...
ECCV
2006
Springer
14 years 6 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
2011
12 years 11 months ago
2011
—This paper addresses the issue of matching rigid and articulated shapes through probabilistic point registration. The problem is recast into a missing data framework where unkno...
CAS
2007
13 years 4 months ago
2007
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...