01186nam a2200193 a 450000100080000000500110000800800410001910000180006024501130007826001390019130000130033050001270034352004490047065000100091965300120092965300130094170000160095470000220097015747102016-05-09       2009    bl uuuu     u00u1 u    #d1 aAMORIM, W. P.  aA comparative analysis of attribute reduction algorithms applied to wet-blue leather defects classification.  aIn: BRASILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, 22., 2009, Rio de Janeiro. Proceedings... Rio de Janeiro: PUCc2009  c1 CD-ROM  aDisponível em: http://www.matmidia.mat.puc-rio.br/sibgrapi2009/media/posters/59602.pdf. Acesso em 13 de novembro de 2009.  aThis 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.  aCouro  aDefeito  aWet-blue1 aPISTORI, H.1 aJACINTO, M. A. C.