Symmetrizing the Kullback-Leibler Distance

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dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleIEEE Transactions on Information Theoryen_US
dc.contributor.authorJohnson, Donen_US
dc.contributor.authorSinanovic, Sinanen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:47:39Zen_US
dc.date.available2007-10-31T00:47:39Zen_US
dc.date.issued2001-03-20en_US
dc.date.modified2002-03-22en_US
dc.date.submitted2002-03-22en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe define a new distance measure - the resistor-average distance - between two probability distributions that is closely related to the Kullback-Leibler distance. While the Kullback-Leibler distance is asymmetric in the two distributions, the resistor-average distance is not. It arises from geometric considerations similar to those used to derive the Chernoff distance. Determining its relation to well-known distance measures reveals a newway to depict how commonly used distance measures relate to each other.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationD. Johnson and S. Sinanovic, "Symmetrizing the Kullback-Leibler Distance," <i>IEEE Transactions on Information Theory,</i> 2001.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19969en_US
dc.language.isoengen_US
dc.subjectKullback-Leibler distanceen_US
dc.subjectJ-divergenceen_US
dc.subjectAli-Silvey distanceen_US
dc.subjectinformatin processingen_US
dc.subject.keywordKullback-Leibler distanceen_US
dc.subject.keywordJ-divergenceen_US
dc.subject.keywordAli-Silvey distanceen_US
dc.subject.keywordinformatin processingen_US
dc.subject.otherInformation Processingen_US
dc.titleSymmetrizing the Kullback-Leibler Distanceen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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