1387 search results - page 27 / 278 » Variational Bayesian image modelling |
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
119
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ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
125
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NIPS
2000
15 years 1 months ago
2000
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
CAI
1998
Springer
14 years 11 months ago
1998
Springer
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...