Reference TypeConference Proceedings
Citation KeyBreveJúniMasc:2007:MuPeCl
Author1 Breve, Fabricio Aparecido
2 Júnior, Moacir Pereira Ponti
3 Mascarenhas, Nelson Delfino D'Ávila
Affiliation1 Universidade Federal de São Carlos
2 Universidade Federal de São Carlos
3 Universidade Federal de São Carlos
TitleMultilayer Perceptron Classifier Combination for Identification of Materials on Noisy Soil Science Multispectral Images
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationBelo Horizonte
Keywordsclassifier combination multilayer perceptron dempster-shafer decision templates bagging soil tomograph images.
AbstractClassifier combination experiments using the Multilayer Perceptron (MLP) were carried out using noisy soil science multispectral images, which were obtained using a Tomograph scanner. Using few units in the MLP hidden layer, images were classified using a single classifier. Later we used classifier combining techniques as Bagging, Decision Templates (DT) and Dempster-Shafer (DS), in order to improve the performance of the single classifiers and also stabilize the performance of the Multilayer Perceptron. The classification results were evaluated using Cross-Validation. The results showed stabilization of Multilayer Perceptron and improved results were achieved with fewer units in the MLP hidden layer.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size261 KiB
Number of Files1
Target Filebrevef-ClassifierCombination.pdf
Last Update2007: administrator
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