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dc.contributor.authorBen Othman, Ibtissem
dc.contributor.authorTroudi, Molka
dc.contributor.authorGhorbel, Faouzi
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-10T10:43:21Z-
dc.date.available2019-05-10T10:43:21Z-
dc.date.issued2018
dc.identifier.citationWSCG 2018: poster papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 55-60.en
dc.identifier.isbn978-80-86943-42-8
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2018/!!_CSRN-2803.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34638
dc.description.abstractWe introduce, by this work, a fast method to estimate probability density functions in the semi-bounded case. This new technique is a simplified version of the kernel-diffeomorphism estimator which requires complexity in the calculations. It is based on a logarithmic transformation of the data which will be estimated by the conventional kernel estimator. Thus, the algorithm complexity is reduced from O(N2) to O(N).en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG 2018: poster papers proceedingsen
dc.rights© Václav Skala - Union Agencycs
dc.subjectodhad hustoty jádracs
dc.subjectplugin algoritmus diffeomorfismu jádracs
dc.subjectrychlý poloomezený diffeomorfismus jádracs
dc.titleThe fast semi-bounded kernel-diffeomorphism estimatoren
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedkernel density estimatoren
dc.subject.translatedkernel-diffeomorphism plug-in algorithmen
dc.subject.translatedfast semi-bounded kernel-diffeomorphismen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2018.2803.8
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2018: Poster Papers Proceedings

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