DocumentCode :
2219922
Title :
An overview and comparison of voting methods for pattern recognition
Author :
Van Erp, Merijn ; Vuurpijl, Louis ; Schomaker, Lambert
Author_Institution :
NICI, Nijmegen, Netherlands
fYear :
2002
fDate :
2002
Firstpage :
195
Lastpage :
200
Abstract :
In pattern recognition, there is a growing use of multiple classifier combinations with the goal to increase recognition performance. In many cases, plurality voting is a part of the combination process. In this article, we discuss and test several well known voting methods from politics and economics on classifier combination in order to see if an alternative to the simple plurality vote exists. We found that, assuming a number of prerequisites, better methods are available, that are comparatively simple and fast.
Keywords :
decision theory; pattern classification; multiple classifier combinations; pattern recognition; plurality voting; voting methods; Artificial intelligence; Conferences; Enterprise resource planning; Handwriting recognition; Helium; Humans; Nominations and elections; Pattern recognition; Testing; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
Print_ISBN :
0-7695-1692-0
Type :
conf
DOI :
10.1109/IWFHR.2002.1030908
Filename :
1030908
Link To Document :
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