A markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach

CIARP, pp. 581-590, 2011.

Cited by: 6|Bibtex|Views3|DOI:https://doi.org/10.1007/978-3-642-25085-9_69
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed rules and decision templates are often used. Therefore, the influence and relationship between classifier decisions a...More

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