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CEC
2007
IEEE
15 years 5 months ago
Efficient relevance estimation and value calibration of evolutionary algorithm parameters
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
Volker Nannen, A. E. Eiben
IJCAI
2007
15 years 2 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Volker Nannen, A. E. Eiben
SIP
2001
15 years 2 months ago
Multiresolutional descriptions of digital video in terms of "relevance"
This paper introduces algorithms for determining the "relevance" of each frame (and objects within the frame) to the scenes present in a given video sequence. Specifical...
Onur G. Guleryuz, V. Ratnakar
TIP
2010
108views more  TIP 2010»
14 years 11 months ago
A Perceptually Relevant Approach to Ringing Region Detection
—An efficient approach toward a no-reference ringing metric intrinsically exists of two steps: first detecting regions in an image where ringing might occur, and second quantif...
Hantao Liu, Nick Klomp, Ingrid Heynderickx
ICASSP
2011
IEEE
14 years 5 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...