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On the Importance of Accurate Weak Classifier Learning for Boosted weak Classifiers

Overett, Gary; Petersson, Lars

Description

Recent work [1], has shown that improving model learning for weak classifiers can yield significant gains in the overall accuracy of a boosted classifier. However, most published classifier boosting research relies only on rudimentary learning techniques

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/37617
Source: Proceedings of IEEE Intelligent Vehicles Symposium 2008
DOI: 10.1109/IVS.2008.4621221

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