2040 search results - page 1 / 408 » Approximate Expectation Maximization |
NIPS
2003
14 years 6 days ago
2003
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
MICCAI
2002
Springer
14 years 11 months ago
2002
Springer
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field ...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
In this work, we show how expectation maximization based simultaneous channel and noise estimation can be derived without a vector Taylor series expansion. The central idea is to ...
AMDO
2010
Springer
13 years 9 months ago
2010
Springer
In this paper an approach is described to estimate 3D pose using a part based stochastic method. A proposed representation of the human body is explored defined over joints that e...
JMLR
2010
13 years 5 months ago
2010
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...