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- W2188236123 abstract "Asa kindofone-class classification algorithm, Support Vector DataDescription (SVDD)was usedto distinguish target objects fromoutliers objects. Byintroducing themathematics concept ofcurvature, we reduced the training samples according tothevalueofsupport vectors locating on theclassification boundary, thena reduced learning Support Vector DataDescription (RSVDD)algorithm based on thereduced support machines was presented inthis paper.Compared withthetraditional SVDD,RSVDDonlyusedreduced support machines toconstruct thefinal classification boundary, sothetraining time was decreased greatly, meanwhile, theclassification performance ofthe RSVDD can hardly bedropped obviously, andRSVDD isuseful andeffective especially inlarge scale training samples problem." @default.
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- W2188236123 date "2006-01-01" @default.
- W2188236123 modified "2023-09-27" @default.
- W2188236123 title "OneKindofReducedLearning Algorithm for Support Vector DomainDescription" @default.
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