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» Genetic algorithms in classifier fusion
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TIFS
2010
137views more  TIFS 2010»
13 years 2 months ago
On the dynamic selection of biometric fusion algorithms
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross
ICPR
2004
IEEE
14 years 8 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov
PR
2006
167views more  PR 2006»
13 years 7 months ago
Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication
Fusing the scores of several biometric systems is a very promising approach to improve the overall system's accuracy. Despite many works in the literature, it is surprising t...
Norman Poh, Samy Bengio
IEEEHPCS
2010
13 years 5 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...
ICDAR
2003
IEEE
14 years 23 days ago
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako