A Multi-Class Support Vector Machine Based on Scatter Criteria

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dc.contributor.authorJenssen, Robert
dc.contributor.authorKloft, Marius
dc.contributor.authorZien, Alexander
dc.contributor.authorSonnenburg, Sören
dc.contributor.authorMüller, Klaus-Robert
dc.date.accessioned2020-06-15T06:35:00Z
dc.date.available2020-06-15T06:35:00Z
dc.date.issued2009
dc.description.abstractWe re-visit Support Vector Machines (SVMs) and provide a novel interpretation thereof in terms of weighted class means and scatter theory. The gained theoretical insight can be translated into a highly efficient extension to multi-class SVMs: mScatter-SVMs. Numerical simulations reveal that more than an order of magnitude speed-up can be gained while the classification performance remains largely unchanged at the level of the classical one vs. rest and one vs. one implementation of multi-class SVMs.en
dc.identifier.issn1436-9915
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/11377
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-10264
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc004 Datenverarbeitung; Informatik
dc.subject.othersupport vector machinesen
dc.subject.othermScatter-SVMen
dc.titleA Multi-Class Support Vector Machine Based on Scatter Criteriaen
dc.typeResearch Paper
dc.type.versionsubmittedVersionen
tub.accessrights.dnbfree
tub.affiliationFak. 4 Elektrotechnik und Informatikde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.publisher.universityorinstitutionTechnische Universität Berlin
tub.series.issuenumber2009-14
tub.series.nameForschungsberichte der Fakultät IV - Elektrotechnik und Informatik / Technische Universität Berlin

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