A comparison of two approaches for combining the votes of cooperating classifiers

A comparison of two approaches for combining the votes of cooperating classifiers

Two different approaches are described to combine the results of different classifiers. The first approach is based on the Dempster/Shafer theory of evidence and the second one is a statistical approach with some assumptions on the input data. Both approaches were tested for user-dependent recogniti...

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Hauptverfasser: Franke, J., Mandler, E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automatic testing
Character recognition
Handwriting recognition
Pattern matching
Pattern recognition
Text analysis
Voting
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description Two different approaches are described to combine the results of different classifiers. The first approach is based on the Dempster/Shafer theory of evidence and the second one is a statistical approach with some assumptions on the input data. Both approaches were tested for user-dependent recognition of on-line handwritten characters.< >
doi_str_mv 10.1109/ICPR.1992.201786
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identifier ISBN: 0818629150
ispartof Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 1992, p.611-614
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subjects Automatic testing
Character recognition
Handwriting recognition
Pattern matching
Pattern recognition
Text analysis
Voting
title A comparison of two approaches for combining the votes of cooperating classifiers
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