On the Importance of Accurate Weak Classifier Learning for Boosted weak Classifiers
Date
2008
Authors
Overett, Gary
Petersson, Lars
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
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
Description
Keywords
Keywords: Classifiers; Education; Intelligent vehicle highway systems; Learning algorithms; Learning systems; Object recognition; Accurate models; Boosted classifiers; Boosting algorithms; Improved models; Learning techniques; Model accuracies; Model learnings; New
Citation
Collections
Source
Proceedings of IEEE Intelligent Vehicles Symposium 2008
Type
Conference paper
Book Title
Entity type
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Restricted until
2037-12-31