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Improving feature extraction by replacing the Fisher criterion by an upper error bound

dc.contributor.authorLuebke, K.
dc.contributor.authorWeihs, C.
dc.date.accessioned2005-07-07T12:28:03Z
dc.date.available2005-07-07T12:28:03Z
dc.date.issued2005-07-07T12:28:03Z
dc.description.abstractA lot of alternatives and constraints have been proposed in order to improve the Fisher criterion. But most of them are not linked to the error rate, the primary interest in many applications of classification. By introducing an upper bound for the error rate a criterion is developed which can improve the classification performance.en
dc.format.extent124427 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2003/21512
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14153
dc.language.isoen
dc.subjectError bounden
dc.subjectFeature extractionen
dc.subjectFisher criterionen
dc.subjectLinear discriminant analysisen
dc.subject.ddc004
dc.titleImproving feature extraction by replacing the Fisher criterion by an upper error bounden
dc.typeTexten
dc.type.publicationtypereporten
dcterms.accessRightsopen access
eldorado.dnb.deposittrue

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