Learning Similarity for Character Recognition and 3D Object Recognition

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dc.creatorBreuel, Thomas M.
dc.date2007-12-02
dc.date.accessioned2026-07-07T08:46:46Z
dc.date.available2026-07-07T08:46:46Z
dc.descriptionI describe an approach to similarity motivated by Bayesian methods. This yields a similarity function that is learnable using a standard Bayesian methods. The relationship of the approach to variable kernel and variable metric methods is discussed. The approach is related to variable kernel Experimental results on character recognition and 3D object recognition are presented..
dc.identifierhttps://arxiv.org/abs/0712.0131
dc.identifierhttp://arxiv.org/abs/0712.0131
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/143364
dc.subjectComputer Vision and Pattern Recognition
dc.titleLearning Similarity for Character Recognition and 3D Object Recognition
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