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» Estimating Likelihoods for Topic Models
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116
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MICCAI
2009
Springer
16 years 1 months ago
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Albert Huang, Rafeef Abugharbieh, Roger Tam
ACIVS
2006
Springer
15 years 6 months ago
Discrete Choice Models for Static Facial Expression Recognition
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
Gianluca Antonini, Matteo Sorci, Michel Bierlaire,...
ICML
2006
IEEE
16 years 1 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
115
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CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 23 days ago
Modeling the structure and evolution of discussion cascades
We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these ...
Vicenç Gómez, Hilbert J. Kappen, And...
ICIP
2002
IEEE
16 years 2 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...