Large margin classifications and their applications in computer vision

The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers.

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Bibliographic Details
Main Author:	Li, Xuchun
Other Authors:	Sung, Eric
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:	https://hdl.handle.net/10356/4770
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-47702023-07-04T16:59:35Z Large margin classifications and their applications in computer vision Li, Xuchun Sung, Eric School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:58:09Z 2008-09-17T09:58:09Z 2007 2007 Thesis Li, X. (2007). Large margin classifications and their applications in computer vision. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4770 10.32657/10356/4770 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Li, Xuchun Large margin classifications and their applications in computer vision
description	The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers.
author2	Sung, Eric
author_facet	Sung, Eric Li, Xuchun
format	Theses and Dissertations
author	Li, Xuchun
author_sort	Li, Xuchun
title	Large margin classifications and their applications in computer vision
title_short	Large margin classifications and their applications in computer vision
title_full	Large margin classifications and their applications in computer vision
title_fullStr	Large margin classifications and their applications in computer vision
title_full_unstemmed	Large margin classifications and their applications in computer vision
title_sort	large margin classifications and their applications in computer vision
publishDate	2008
url	https://hdl.handle.net/10356/4770
_version_	1772828695491248128

Large margin classifications and their applications in computer vision

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