Title

Boosting in Classifier Fusion vs. Fusing Boosted Classifiers

Document Type

Conference Proceeding

Publication Date

12-1-2005

Abstract

In this paper we investigate the performance of boosting used for fusing various classifiers. We propose a new boosting - based algorithm for fusion and we show through empirical studies on texture image data sets that it outperforms existing SVM-based classifier fusion technique in terms of accuracy, computational efficiency and robustness.

DOI

10.1109/IRI-05.2005.1506495

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