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Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians

dc.contributor.authorRus, Daniela
dc.contributor.authorJulian, Brian
dc.date.accessioned2023-02-24T16:18:31Z
dc.date.available2023-02-24T16:18:31Z
dc.date.issued2013
dc.identifier.urihttps://hdl.handle.net/1721.1/148210
dc.publisherThe MIT Pressen_US
dc.relation.isversionof10.7551/mitpress/9816.003.0027en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleDistributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussiansen_US
dc.typeBooken_US
dc.identifier.citationRus, Daniela and Julian, Brian. 2013. "Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.date.submission2023-02-24T15:49:06Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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