Solving Particularization with Supervised Clustering Competition Scheme
Identifieur interne : 003193 ( Istex/Corpus ); précédent : 003192; suivant : 003194Solving Particularization with Supervised Clustering Competition Scheme
Auteurs : Oriol Pujol ; Petia RadevaSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and unlabelled data can be done. In this paper we propose a new problem we have called particularization and a way to solve it. We also propose a new technique for mixing labelled and unlabelled data. This technique relies in the combination of supervised and unsupervised processes competing for the classification of each data point. Encouraging results on improving the classification outcome are obtained on MNIST database.
Url:
DOI: 10.1007/11492542_2
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Robotics)</BookSubject><BookSubject Code="I21033" Priority="3" Type="Secondary">Document Preparation and Text Processing</BookSubject><BookSubject Code="I22013" Priority="4" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I2203X" Priority="5" Type="Secondary">Pattern Recognition</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Jorge</GivenName><GivenName>S.</GivenName><FamilyName>Marques</FamilyName></EditorName><Contact><Email>jsm@isr.ist.utl.pt</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Nicolás</GivenName><FamilyName>Pérez de la Blanca</FamilyName></EditorName><Contact><Email>nicolas@decsai.ugr.es</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Pedro</GivenName><FamilyName>Pina</FamilyName></EditorName><Contact><Email>ppina@alfa.ist.utl.pt</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>Instituto Superior Técnico & Instituto de Sistemas e Robótica,</OrgName><OrgAddress><Postcode>1049-001</Postcode><City>Lisboa</City><Country>Portugal</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>ETSI Informática y e Telecomunicación</OrgDivision><OrgName>University of Granada</OrgName><OrgAddress><Postcode>18071</Postcode><City>Granada</City><Country>Spain</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Instituto Superior Técnico</OrgDivision><OrgName>CERENA-Centro de Recursos Naturais e Ambiente</OrgName><OrgAddress><Street>Av. Rovisco Pais</Street><Postcode>1049-001</Postcode><City>Lisboa</City><Country>Portugal</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartNumber>I</PartNumber><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Statistical Pattern Recognition</PartTitle><PartChapterCount>12</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Pattern Recognition and Image Analysis</BookTitle></PartContext></PartInfo><Chapter ID="Chap2" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>2</ChapterID><ChapterDOI>10.1007/11492542_2</ChapterDOI><ChapterSequenceNumber>2</ChapterSequenceNumber><ChapterTitle Language="En">Solving Particularization with Supervised Clustering Competition Scheme</ChapterTitle><ChapterFirstPage>11</ChapterFirstPage><ChapterLastPage>18</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><BookID>978-3-540-32238-2</BookID><BookTitle>Pattern Recognition and Image Analysis</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Oriol</GivenName><FamilyName>Pujol</FamilyName></AuthorName><Contact><Email>oriol@cvc.uab.es</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Petia</GivenName><FamilyName>Radeva</FamilyName></AuthorName></Author><Affiliation ID="Aff19"><OrgName>Computer Vision Center, Campus UAB</OrgName><OrgAddress><Postcode>08193</Postcode><City>(Bellaterra) Barcelona</City><Country>Spain</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and unlabelled data can be done. In this paper we propose a new problem we have called particularization and a way to solve it. We also propose a new technique for mixing labelled and unlabelled data. This technique relies in the combination of supervised and unsupervised processes competing for the classification of each data point. Encouraging results on improving the classification outcome are obtained on MNIST database.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Solving Particularization with Supervised Clustering Competition Scheme</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Solving Particularization with Supervised Clustering Competition Scheme</title></titleInfo><name type="personal"><namePart type="given">Oriol</namePart><namePart type="family">Pujol</namePart><affiliation>Computer Vision Center, Campus UAB, 08193, (Bellaterra) Barcelona, Spain</affiliation><affiliation>E-mail: oriol@cvc.uab.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Petia</namePart><namePart type="family">Radeva</namePart><affiliation>Computer Vision Center, Campus UAB, 08193, (Bellaterra) Barcelona, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and unlabelled data can be done. In this paper we propose a new problem we have called particularization and a way to solve it. We also propose a new technique for mixing labelled and unlabelled data. This technique relies in the combination of supervised and unsupervised processes competing for the classification of each data point. Encouraging results on improving the classification outcome are obtained on MNIST database.</abstract><relatedItem type="host"><titleInfo><title>Pattern Recognition and Image Analysis</title><subTitle>Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Jorge</namePart><namePart type="given">S.</namePart><namePart type="family">Marques</namePart><affiliation>Instituto Superior Técnico & Instituto de Sistemas e Robótica,, 1049-001, Lisboa, Portugal</affiliation><affiliation>E-mail: jsm@isr.ist.utl.pt</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Nicolás</namePart><namePart type="family">Pérez de la Blanca</namePart><affiliation>ETSI Informática y e Telecomunicación, University of Granada, 18071, Granada, Spain</affiliation><affiliation>E-mail: nicolas@decsai.ugr.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pedro</namePart><namePart type="family">Pina</namePart><affiliation>Instituto Superior Técnico, CERENA-Centro de Recursos Naturais e Ambiente, Av. 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