Performance analysis of pattern classifier combination by plurality voting

Authors:
Xiaofan Lin;Sherif Yacoub;John Burns;Steven Simske
Affiliations:
Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1126, Palo Alto, CA;Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1126, Palo Alto, CA;Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1126, Palo Alto, CA;Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1126, Palo Alto, CA
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

Plurality voting is widely used in pattern recognition. However, there is little theoretical analysis of plurality voting. In this paper, we attempt to explore the rationale behind plurality voting. The recognition/error/rejection rates of plurality voting are compared with those of majority voting under different conditions. It is demonstrated that plurality voting is more efficient in achieving the tradeoff between rejection rate and error rate. We also discuss some practical problems when applying plurality voting to real-world applications.