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ICIP
2010
IEEE
13 years 6 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
LPAR
2010
Springer
13 years 6 months ago
Interpolating Quantifier-Free Presburger Arithmetic
Craig interpolation has become a key ingredient in many symbolic model checkers, serving as an approximative replacement for expensive quantifier elimination. In this paper, we foc...
Daniel Kroening, Jérôme Leroux, Phili...
MICCAI
2010
Springer
13 years 6 months ago
Multi-Diffusion-Tensor Fitting via Spherical Deconvolution: A Unifying Framework
Abstract. In analyzing diffusion magnetic resonance imaging, multitensor models address the limitations of the single diffusion tensor in situations of partial voluming and fiber c...
Thomas Schultz, Carl-Fredrik Westin, Gordon L. Kin...
SWAT
2010
Springer
204views Algorithms» more  SWAT 2010»
13 years 6 months ago
Feasible and Accurate Algorithms for Covering Semidefinite Programs
In this paper we describe an algorithm to approximately solve a class of semidefinite programs called covering semidefinite programs. This class includes many semidefinite programs...
Garud Iyengar, David J. Phillips, Clifford Stein
EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...