Dimensionality reduction of radio map with nonlinear autoencoder

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dc.contributor.authorLee, MKko
dc.contributor.authorHan, Dongsooko
dc.date.accessioned2013-03-12T12:23:12Z-
dc.date.available2013-03-12T12:23:12Z-
dc.date.created2012-08-08-
dc.date.created2012-08-08-
dc.date.issued2012-05-
dc.identifier.citationELECTRONICS LETTERS, v.48, no.11, pp.655 - 657-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/102315-
dc.description.abstractPresented is a nonlinear autoencoder, which reduces the dimensionality of a radio map, and consequently contributes to the reduction of the power consumption of client devices in a fingerprint-based indoor localisation. The nonlinear encoder shows significantly better performance in reducing the dimensionality than principal component analysis, a representative linear technique, did.-
dc.languageEnglish-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.titleDimensionality reduction of radio map with nonlinear autoencoder-
dc.typeArticle-
dc.identifier.wosid000304421900035-
dc.identifier.scopusid2-s2.0-84861620342-
dc.type.rimsART-
dc.citation.volume48-
dc.citation.issue11-
dc.citation.beginningpage655-
dc.citation.endingpage657-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.identifier.doi10.1049/el.2011.4039-
dc.contributor.localauthorHan, Dongsoo-
dc.type.journalArticleArticle-
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