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		<identifier>8JMKD3MGPBW34M/386JMHP</identifier>
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		<site>sibgrapi.sid.inpe.br 802</site>
		<citationkey>AmorimPistPereJaci:2010:AtReAp</citationkey>
		<author>Amorim, Willian Paraguassu,</author>
		<author>Pistori, Hemerson,</author>
		<author>Pereira, Mauro Conti,</author>
		<author>Jacinto, Manuel Antonio Chagas,</author>
		<title>Attributes Reduction applied to Leather Defects Classification</title>
		<conferencename>Conference on Graphics, Patterns and Images, 23 (SIBGRAPI)</conferencename>
		<year>2010</year>
		<editor>Bellon, Olga,</editor>
		<editor>Esperanša, Claudio,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Aug. 30 - Sep. 3, 2010</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Gramado</conferencelocation>
		<keywords>Attributes reduction, Linear discriminant analysis, Leather defect detection.</keywords>
		<abstract>This paper presents a study on attributes reduction, comparing five discriminant analysis techniques: FisherFace, CLDA, DLDA, YLDA and KLDA. Attributes reduction has been applied to the problem of leather defect classification using four different classifiers: C4.5, kNN, Naive Bayes and Support Vector Machines. The results of several experiments on the performance of discriminant analysis applied to the problem of defect detection are reported.</abstract>
		<organization>Conference on Graphics, Patterns and Images, 23.(SIBGRAPI)</organization>
		<language>en</language>
		<format>On-line</format>
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		<e-mailaddress>paraguassuec@gmail.com</e-mailaddress>
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