2040 search results - page 1 / 408 » Approximate Expectation Maximization |
NIPS
2003
13 years 5 months 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 5 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 4 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 3 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
12 years 11 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 (...