Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/574710
Research center of Embrapa/Collection: Embrapa Pecuária Sudeste - Artigo em anais de congresso (ALICE)
Date Issued: 2009
Type of Material: Artigo em anais de congresso (ALICE)
Authors: AMORIM, W. P.
PISTORI, H.
JACINTO, M. A. C.
Additional Information: WILLIAN PARAGUASSI AMORIM, UFMS/CAMPO GRANDE, MS; HEMERSON PISTORI, UCDB/CAMPO GRANDE, MS; MANUEL ANTONIO CHAGAS JACINTO, CPPSE.
Title: A comparative analysis of attribute reduction algorithms applied to wet-blue leather defects classification.
Publisher: In: BRASILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, 22., 2009, Rio de Janeiro. Proceedings... Rio de Janeiro: PUC, 2009.
Language: pt_BR
Notes: Disponível em: http://www.matmidia.mat.puc-rio.br/sibgrapi2009/media/posters/59602.pdf. Acesso em 13 de novembro de 2009.
Keywords: Wet-blue
Defeito.
Description: 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.
Data Created: 2009-11-13
Appears in Collections:Artigo em anais de congresso (CPPSE)

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