DocumentCode
2390772
Title
Classification with nonexclusive patterns
Author
Chang, Inhao ; Loew, Murray
Author_Institution
CyberCash Inc., Reston, VA, USA
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
116
Abstract
In this paper, classification problems with N non-mutually exclusive classes are discussed. We introduce a method which can systematically formulate 2n mutually exclusive classes without additional training data. We also show that the error rate of the new method is lower than that of the traditional approach when patterns are not mutually exclusive
Keywords
pattern classification; probability; set theory; statistical analysis; error rate; nonexclusive pattern classification; probability; set theory; statistical descriptions; Computer science; Diseases; Error analysis; Error probability; Marine vehicles; Pattern recognition; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546735
Filename
546735
Link To Document