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ICPR
2008
IEEE
14 years 2 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya
PR
2007
148views more  PR 2007»
13 years 7 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
ICPR
2002
IEEE
14 years 8 months ago
The Economics of Classification: Error vs. Complexity
Although usually classifier error is the main concern in publications, in real applications classifier evaluation complexity may play a large role as well. In this paper, a simple...
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Du...
LREC
2010
165views Education» more  LREC 2010»
13 years 9 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
ICPR
2008
IEEE
14 years 2 months ago
Computer graphics identification using genetic algorithm
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Wen Chen, Yun Q. Shi, Guorong Xuan, Wei Su