Codage arithmetique pour la description d'une distribution

Simple item page
dc.creatorCoq, Guilhem
dc.creatorAlata, Olivier
dc.creatorArnaudon, Marc
dc.creatorOlivier, Christian
dc.date2007-05-21
dc.date.accessioned2026-07-07T08:02:37Z
dc.date.available2026-07-07T08:02:37Z
dc.descriptionUsing predictive adaptive arithmetic coding and the Minimum Description Length principle, we derive an efficient tool for model selection problems : the RIC information criterion. We then present an extension of these coding techniques to non-parametrical estimation of a distribution and illustrate it on the gray scales histogram of an image. Key-words : Information criteria, MDL, model selection, non-parametrical estimation, histograms.
dc.description7 pages, 6 figures, in French, TAIMA'07 conference presentation http://taima.enst-bretagne.fr/
dc.identifierhttps://arxiv.org/abs/0705.2938
dc.identifierhttp://arxiv.org/abs/0705.2938
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/129280
dc.subjectMethodology
dc.titleCodage arithmetique pour la description d'une distribution
dc.typetext

Files

Collections

arXiv