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Training invariant support vector machines

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dc.contributor.author Decoste, D. en_US
dc.contributor.author Scholkopf, B. en_US
dc.date.accessioned 2004-09-23T21:17:22Z
dc.date.available 2004-09-23T21:17:22Z
dc.date.issued 2002 en_US
dc.identifier.citation Machine learning, 45, no. 1-3, pp. 161-190 en_US
dc.identifier.citation Pasadena, CA USA en_US
dc.identifier.clearanceno 00-1762 en_US
dc.identifier.uri http://hdl.handle.net/2014/15949
dc.description.abstract Practical experience has shown that in order to obtain the best possible performance, prior knowledge about invariances of a classification problem at hand ought to be incorporated into the training procedure. en_US
dc.format.extent 624003 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other Support vector machines invarianceimage classification en_US
dc.title Training invariant support vector machines en_US


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