DocumentCode
2598730
Title
A Unified Strategy to Deal with Different Natures of Reject
Author
Mouchère, Harold ; Anquetil, Eric
Author_Institution
IRISA, Rennes
Volume
2
fYear
0
fDate
0-0 0
Firstpage
792
Lastpage
795
Abstract
The interest of reject for classifier optimization has been shown many times. The diversity of the applications requiring this concept makes us to distinguish two main natures of reject with distinct goals: the confusion reject and the distance reject. After the description of this two kinds of reject, we present a unified formalism to define them using reliability functions and reject thresholds. Then we present a generic algorithm dedicated to the automatic learning of these thresholds. Finally, we compare various possibilities of reject to achieve application goals
Keywords
genetic algorithms; learning (artificial intelligence); pattern classification; automatic learning; classifier optimization; confusion reject; distance reject; generic algorithm; reject thresholds; reliability functions; unified formalism; Constraint optimization; Fuzzy neural networks; Fuzzy systems; Histograms; Particle swarm optimization; Pattern recognition; Prototypes; Radial basis function networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.193
Filename
1699324
Link To Document