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TMI
2010
175views more  TMI 2010»
14 years 6 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
MICCAI
2005
Springer
16 years 20 days ago
3D Curve Inference for Diffusion MRI Regularization
Abstract. We develop a differential geometric framework for regularizing diffusion MRI data. The key idea is to model white matter fibers as 3D space curves and to then extend Pare...
Peter Savadjiev, Jennifer S. W. Campbell, G. Bruce...
SBMF
2010
Springer
164views Formal Methods» more  SBMF 2010»
14 years 6 months ago
A Decision Procedure for Bisimilarity of Generalized Regular Expressions
A notion of generalized regular expressions for a large class of systems modeled as coalgebras, and an analogue of Kleene's theorem and Kleene algebra, were recently proposed ...
Marcello M. Bonsangue, Georgiana Caltais, Eugen-Io...
CAV
2009
Springer
134views Hardware» more  CAV 2009»
16 years 10 days ago
Predecessor Sets of Dynamic Pushdown Networks with Tree-Regular Constraints
Abstract. Dynamic Pushdown Networks (DPNs) are a model for parallel programs with (recursive) procedures and process creation. The goal of this paper is to develop generic techniqu...
Alexander Wenner, Markus Müller-Olm, Peter La...
PRL
2011
14 years 6 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino