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» Error Thresholds in Genetic Algorithms
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GLOBECOM
2007
IEEE
14 years 2 months ago
CSMA Self-Adaptation Based on Interference Differentiation
—this paper addresses the design challenge of interference mitigation in the emerging high density (HD) wireless LAN. It is proposed to differentiate interference according to th...
Jing Zhu, Xingang Guo, Sumit Roy, Konstantina Papa...
APGV
2010
ACM
227views Visualization» more  APGV 2010»
13 years 11 months ago
Measuring the perception of light inconsistencies
In this paper we explore the ability of the human visual system to detect inconsistencies in the illumination of objects in images. We specifically focus on objects being lit fro...
Jorge Lopez-Moreno, Veronica Sundstedt, Francisco ...
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
AISB
1994
Springer
13 years 11 months ago
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
Peter J. B. Hancock
FBIT
2007
IEEE
13 years 11 months ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...