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» On the Error Parameter of Dispersers
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95
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DSP
2006
14 years 9 months ago
Blind image deconvolution via dispersion minimization
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
C. Vural, William A. Sethares
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
79
Voted
JMLR
2012
12 years 12 months ago
Robust Multi-task Regression with Grossly Corrupted Observations
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
Huan Xu, Chenlei Leng
PE
2008
Springer
89views Optimization» more  PE 2008»
14 years 9 months ago
Merging and splitting autocorrelated arrival processes and impact on queueing performance
We have proposed a three-parameter renewal approximation to analyze splitting and superposition of autocorrelated processes. We define the index of dispersion for counts of an ord...
Baris Balcioglu, David L. Jagerman, Tayfur Altiok
APVIS
2001
14 years 11 months ago
Visualising the Probability Distribution Function of Uncertain Data - Application to Stochastic Modelling of Ground Water Solute
An overview of previous approaches to the visualisation of uncertainty is presented making the distinction between verity visualisation, where the uncertainty information is an in...
Alan McKinnon, Emma Raymond