%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2010/08.30.21.35
%2 sid.inpe.br/sibgrapi/2010/08.30.21.35.01
%@doi 10.1109/SIBGRAPI.2010.54
%T Attributes Reduction applied to Leather Defects Classification
%D 2010
%A Amorim, Willian Paraguassu,
%A Pistori, Hemerson,
%A Pereira, Mauro Conti,
%A Jacinto, Manuel Antonio Chagas,
%E Bellon, Olga,
%E Esperança, Claudio,
%B Conference on Graphics, Patterns and Images, 23 (SIBGRAPI)
%C Gramado, RS, Brazil
%8 30 Aug.-3 Sep. 2010
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%1 Conference on Graphics, Patterns and Images, 23.(SIBGRAPI)
%K Attributes reduction, Linear discriminant analysis, Leather defect detection.
%X 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.
%@language en
%3 PID1394609.pdf