Skip navigation
Skip navigation

Totally corrective boosting algorithm and application to face recognition

Li, Hanxi


Boosting is one of the most well-known learning methods for building highly accurate classifiers or regressors from a set of weak classifiers. Much effort has been devoted to the understanding of boosting algorithms. However, questions remain unclear about the success of boosting. In this thesis, we study boosting algorithms from a new perspective. We started our research by empirically comparing the LPBoost and AdaBoost algorithms. The result and the corresponding analysis show that,...[Show more]

CollectionsOpen Access Theses
Date published: 2011
Type: Thesis (PhD)
DOI: 10.25911/5d5143ac07be4
Access Rights: Open Access


File Description SizeFormat Image
b28799793_Li_Hanxi.pdf35.76 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator