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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/QGH3E
Repositorysid.inpe.br/sibgrapi@80/2007/07.09.18.41
Last Update2007:07.09.18.41.04 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/07.09.18.41.05
Metadata Last Update2022:06.14.00.13.28 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.10
Citation KeyBreveJúniMasc:2007:MuPeCl
TitleMultilayer Perceptron Classifier Combination for Identification of Materials on Noisy Soil Science Multispectral Images
FormatPrinted, On-line.
Year2007
Access Date2024, Oct. 04
Number of Files1
Size261 KiB
2. Context
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
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2007-07-09 18:41:05 :: fbreve@gmail.com -> administrator ::
2007-08-02 21:17:18 :: administrator -> fbreve@gmail.com ::
2008-07-17 14:09:42 :: fbreve@gmail.com -> administrator ::
2009-08-13 20:38:19 :: administrator -> banon ::
2010-08-28 20:02:26 :: banon -> administrator ::
2022-06-14 00:13:28 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Multilayer Perceptron Classifier...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Multilayer Perceptron Classifier...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QGH3E
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QGH3E
Languageen
Target Filebrevef-ClassifierCombination.pdf
User Groupfbreve@gmail.com
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 28
sid.inpe.br/sibgrapi/2022/06.10.21.49 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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