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
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