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164views
12 years 6 months ago
A Statistical Overlap Prior for Variational Image Segmentation
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
Ismail Ben Ayed, Shuo Li and Ian Ross
HPCA
2009
IEEE
14 years 2 months ago
Soft error vulnerability aware process variation mitigation
As transistor process technology approaches the nanometer scale, process variation significantly affects the design and optimization of high performance microprocessors. Prior stu...
Xin Fu, Tao Li, José A. B. Fortes
ASPLOS
2010
ACM
14 years 2 months ago
Request behavior variations
A large number of user requests execute (often concurrently) within a server system. A single request may exhibit fluctuating hardware characteristics (such as instruction comple...
Kai Shen
BIBE
2008
IEEE
137views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
A sparse variational Bayesian approach for fMRI data analysis
— The aim of this work is to propose a new approach for the determination of the design matrix in fMRI experiments. The design matrix embodies all available knowledge about exper...
Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimi...
ICTAI
2002
IEEE
14 years 21 days ago
Calculus of Variations in Discrete Space for Constrained Nonlinear Dynamic Optimization
In this paper, we propose new dominance relations that can speed up significantly the solution process of nonlinear constrained dynamic optimization problems in discrete time and...
Yixin Chen, Benjamin W. Wah