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» Theory and Use of the EM Algorithm
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ICIP
2008
IEEE
15 years 8 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
ICIP
2000
IEEE
16 years 3 months ago
Registration of Digital Ophthalmic Images Using Vector Mapping
This paper outlines a technique for the automated alignment of digital images of the retina under the assumption that they differ spatially by a geometric global transform. This a...
Neil Ryan, Conor Heneghan, M. Cahill
ICPR
2002
IEEE
16 years 2 months ago
Classification Using a Hierarchical Bayesian Approach
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
Charles Mathis, Thomas M. Breuel
ICIP
2009
IEEE
16 years 2 months ago
Joint Recovery And Segmentation Of Polarimetric Images Using A Compound Mrf And Mixture Modeling
We propose a new approach for the restoration of polarimetric Stokes images, capable of simultaneously segmenting and restoring the images. In order to easily handle the admissibi...
ICASSP
2008
IEEE
15 years 8 months ago
Using variational bayes free energy for unsupervised voice activity detection
This paper addresses the problem of Voice Active Detection (VAD) in noisy environments. We introduce Variational Bayes approach to EM for classification to replace the heuristic ...
David Cournapeau, Tatsuya Kawahara