DocumentCode
3173629
Title
A theoretical analysis of the application of majority voting to pattern recognition
Author
Lam, Louisa ; Suen, Ching Y.
Author_Institution
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
Volume
2
fYear
1994
fDate
9-13 Oct 1994
Firstpage
418
Abstract
Recently, it has been demonstrated that combining the decisions of several classifiers can lead to improved recognition results. The combination can be implemented using a variety of strategies, among which majority vote is by far the simplest, yet it has been found to be just as effective as more complicated schemes. However, all the results reported thus far on combinations of classifiers have been experimental in nature. The intention of this research is to analyze the foundations of the majority vote method in order to gain a deeper understanding and new results about its mode of operation
Keywords
image classification; character recognition; concensus probability; image classifiers; majority voting; pattern recognition; Distributed computing; Machine intelligence; Optical character recognition software; Pattern analysis; Pattern recognition; Probability; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6270-0
Type
conf
DOI
10.1109/ICPR.1994.576970
Filename
576970
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