Hidden Markov random field

A hidden Markov random field is a generalization of a hidden Markov model. Instead of having an underlying Markov chain, hidden Markov random fields… (More)
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Papers overview

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2017
2017
When registering point clouds resolved from an underlying 2-D pixel structure, such as those resulting from structured light and… (More)
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2017
2017
Face clustering and face tracking are two areas of active research in automatic facial video processing. They, however, have long… (More)
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2016
2016
Brain MR images segmentation has attracted a particular focus in medical imaging. The automatic image analysis and interpretation… (More)
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2012
2012
In this project1, we study the hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. We… (More)
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Highly Cited
2008
Highly Cited
2008
Hidden Markov random field (HMRF) models have been widely used for image segmentation, as they appear naturally in problems where… (More)
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Highly Cited
2006
Highly Cited
2006
We develop a hidden Markov random field (HMRF) framework for distributed signal processing in sensor-network environments. Under… (More)
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2006
2006
In this paper, we present a Hidden Markov Random Field (HMRF) data-fusion model. The proposed model is applied to the… (More)
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Highly Cited
2003
Highly Cited
2003
Due to the enormous quantity of radar images acquired by satellites and through shuttle missions, there is an evident need for… (More)
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Highly Cited
2003
Highly Cited
2003
Hidden Markov random fields appear naturally in problems such as image segmentation, where an unknown class assignment has to be… (More)
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Highly Cited
2001
Highly Cited
2001
The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR… (More)
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