Título:	A comparative analysis of attribute reduction algorithms applied to wet-blue leather defects classification.
Autor:	AMORIM, W. P. PISTORI, H. JACINTO, M. A. C.
Afiliación:	WILLIAN PARAGUASSI AMORIM, UFMS/CAMPO GRANDE, MS; HEMERSON PISTORI, UCDB/CAMPO GRANDE, MS; MANUEL ANTONIO CHAGAS JACINTO, CPPSE.
Año:	2009
Referencia:	In: BRASILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, 22., 2009, Rio de Janeiro. Proceedings... Rio de Janeiro: PUC, 2009.
Descripción:	This paper presents an attribute reduction comparative study on four linear discriminant analysis techniques: FisherFace, CLDA, DLDA and YLDA. The attribute reduction has been applied to the problem of leather defect c1assification using four different c1assifiers: C4.5, KNN, Naive Bayes and Support Veetor Machines. Results and analyses on the performance of correct c1assification rates as the number of attributes were reduced are reported.
Thesagro:	Couro
Palabras clave:	Wet-blue Defeito
Notas:	Disponível em: http://www.matmidia.mat.puc-rio.br/sibgrapi2009/media/posters/59602.pdf. Acesso em 13 de novembro de 2009.
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CPPSE)