DocumentCode :
1995112
Title :
Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition
Author :
Morita, M. ; Sabourin, R. ; Bortolozzi, F. ; Suen, C.Y.
Author_Institution :
Ecole de Technologie Superieure
fYear :
2003
fDate :
3-6 Aug. 2003
Firstpage :
666
Lastpage :
670
Keywords :
Clustering algorithms; Clustering methods; Genetic algorithms; Handwriting recognition; Machine intelligence; Minimization methods; Pattern recognition; Sorting; Supervised learning; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
Type :
conf
DOI :
10.1109/ICDAR.2003.1227746
Filename :
1227746
Link To Document :
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