DocumentCode :
2610860
Title :
Pattern recognition with new class discovery
Author :
Chang, Inhao ; Loew, Murray
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
fYear :
1991
fDate :
3-6 Jun 1991
Firstpage :
438
Lastpage :
443
Abstract :
Classification problems with non-mutually exclusive classes are discussed. A method, new class discovery (NCD), is proposed which can discover potentially unknown or untrained classes. It is formally proved that, in the non-mutually exclusive case, the error probability of the NCD method is less than the conventional classification method using Bayes´s rule. Application of the method to real entomological data was successful: a species was discovered that had been independently verified by taxonomists
Keywords :
pattern recognition; probability; entomological data; error probability; new class discovery; nonmutually exclusive classes; pattern recognition; taxonomists; Error probability; Pattern recognition; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
ISSN :
1063-6919
Print_ISBN :
0-8186-2148-6
Type :
conf
DOI :
10.1109/CVPR.1991.139730
Filename :
139730
Link To Document :
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