01081nam a2200193 a 450000100080000000500110000800800410001910000180006024500910007826001060016952004560027565000120073165300250074365300290076865300330079770000160083070000190084670000220086518668392023-06-30       2010    bl uuuu     u00u1 u    #d1 aAMORIM. W. P.  aAttributes reduction applied to leather defects classification.h[electronic resource]  aIn: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 22., 2010, Gramado. Anais... Gramado; SIBGRAPIc2010  aThis paper presents a study on attributes reduction, comparing five discriminant analysis techniques: Fisher- Face, CLDA, DLDA, YLDA and KLDA. Attributes reduction has been applied to the problem of leather defect classification using four different classifiers: C4.5, kNN, Na¨?ve 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  aleather  aAttributes reduction  aLeather defect detection  aLinear discriminant analysis1 aPISTORI, H.1 aPEREIRA, M. C.1 aJACINTO, M. A. C.