2040 search results - page 283 / 408 » Approximate Expectation Maximization |
157
Voted
ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
147
Voted
ICMCS
2009
IEEE
15 years 1 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
182
Voted
ICPP
2009
IEEE
15 years 1 months ago
2009
IEEE
Abstract--This research investigates the problem of robust dynamic resource allocation for heterogeneous distributed computing systems operating under imposed constraints. Often, s...
159
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Most existing structure from motion (SFM) approaches for unordered images cannot handle multiple instances of the same structure in the scene. When image pairs containing differen...
COLING
2010
14 years 10 months ago
2010
We conduct a series of Part-of-Speech (POS) Tagging experiments using Expectation Maximization (EM), Variational Bayes (VB) and Gibbs Sampling (GS) against the Chinese Penn Treeba...