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Symmetric normal mixtures

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dc.contributor.author Turmon, Michael
dc.date.accessioned 2006-04-12T18:23:52Z
dc.date.available 2006-04-12T18:23:52Z
dc.date.issued 2004-10-12
dc.identifier.citation COMPSTAT 2004 - Proceedings in Computational Statistics : 16th Symposium, Prague, Czech Republic, 2004 en
dc.identifier.clearanceno 04-1276
dc.identifier.uri http://hdl.handle.net/2014/39108
dc.description.abstract We consider mixture density estimation under the symmetry constraint x = Az for an orthogonal matrix A. This distributional constraint implies a corresponding constraint on the mixture parameters. Focusing on the gaussian case, we derive an expectation-maximization (EM) algorithm to enforce the constraint and show results for modeling of image feature vectors. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 812124 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004. en
dc.subject symmetry constraint en
dc.subject algebraic group en
dc.subject EM algorithm en
dc.title Symmetric normal mixtures en
dc.type Preprint en


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