200 search results - page 27 / 40 » Variational nonparametric Bayesian Hidden Markov Model |
83
Voted
KES
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Motivation: Although studies have shown that genetic alterations are causally involved in numerous human diseases, still not much is known about the molecular mechanisms ...
113
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JMLR
2012
13 years 27 days ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
SSIAI
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
MICCAI
2003
Springer
15 years 11 months ago
2003
Springer
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
100
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ICCV
2001
IEEE
16 years 11 days ago
2001
IEEE
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...