55 search results - page 5 / 11 » Maximum Likelihood Estimation of Gaussian Mixture Models Usi... |
ESANN
2007
13 years 8 months ago
2007
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
PAMI
2011
13 years 2 months ago
2011
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
NIPS
2007
13 years 8 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we introduce a novel algorithm to solve
global shape registration problems. We use gray-scale “images”
to represent source shapes, and propose a novel twocompo...
PAMI
2011
13 years 2 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...