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MICCAI
2004
Springer
14 years 9 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
CVPR
2005
IEEE
14 years 11 months ago
Dense Photometric Stereo Using a Mirror Sphere and Graph Cut
We present a surprisingly simple system that allows for robust normal reconstruction by dense photometric stereo, in the presence of severe shadows, highlight, transparencies, com...
Tai-Pang Wu, Chi-Keung Tang
CSDA
2006
91views more  CSDA 2006»
13 years 9 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
BMCBI
2008
114views more  BMCBI 2008»
13 years 9 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
BMCBI
2007
160views more  BMCBI 2007»
13 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...