Classification of tropical wood species using support vector machine

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Main Author:	Zakaria, Noorsalzatul Azura
Format:	Thesis
Published:	2010
Subjects:	Unspecified
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id	my-utm-ep.26447
record_format	uketd_dc
spelling	my-utm-ep.264472017-07-05T08:26:20Z Classification of tropical wood species using support vector machine 2010 Zakaria, Noorsalzatul Azura Unspecified 2010 Thesis http://eprints.utm.my/id/eprint/26447/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Classification+of+tropical+wood+species+using+support+vector+machine&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	Unspecified
spellingShingle	Unspecified Zakaria, Noorsalzatul Azura Classification of tropical wood species using support vector machine
description
format	Thesis
qualification_level	Master's degree
author	Zakaria, Noorsalzatul Azura
author_facet	Zakaria, Noorsalzatul Azura
author_sort	Zakaria, Noorsalzatul Azura
title	Classification of tropical wood species using support vector machine
title_short	Classification of tropical wood species using support vector machine
title_full	Classification of tropical wood species using support vector machine
title_fullStr	Classification of tropical wood species using support vector machine
title_full_unstemmed	Classification of tropical wood species using support vector machine
title_sort	classification of tropical wood species using support vector machine
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815478631333888

Classification of tropical wood species using support vector machine

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