A Multiple Classifier Fusion Algorithm Using Weighted Decision Templates

Fusing classifiers’ decisions can improve the performance of a pattern recognition system. Many applications areas have adopted the methods of multiple classifier fusion to increase the classification accuracy in the recognition process. From fully considering the classifier performance differences...

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Bibliographic Details
Main Authors: Aizhong Mi, Lei Wang, Junyan Qi
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2016/3943859