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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/56188
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dc.contributor.authorSuter, D.-
dc.contributor.authorWang, H.-
dc.contributor.editorHubert, M.-
dc.contributor.editorPison, G.-
dc.contributor.editorStruyf, A.-
dc.contributor.editorAelst, S.-
dc.date.issued2004-
dc.identifier.citationTheory and Applications of Recent Robust Methods: Statistics for Industry and Technology, 2004 / Hubert, M., Pison, G., Struyf, A., Aelst, S. (ed./s), pp.307-318-
dc.identifier.isbn3764370602-
dc.identifier.urihttp://hdl.handle.net/2440/56188-
dc.description.statementofresponsibilityD. Suter and H. Wang-
dc.description.urihttp://www.springer.com/birkhauser/applied+probability+and+statistics/book/978-3-7643-7060-2-
dc.language.isoen-
dc.publisherBirkhauser-
dc.relation.ispartofseriesSTATISTICS FOR INDUSTRY AND TECHNOLOGY-
dc.titleRobust fitting using mean shift: Applications in computer vision-
dc.typeBook chapter-
dc.publisher.placeBerlin-
pubs.publication-statusPublished-
dc.identifier.orcidSuter, D. [0000-0001-6306-3023]-
Appears in Collections:Aurora harvest 5
Computer Science publications

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