Codage arithmetique pour la description d'une distribution
arXiv:0705.2938
Abstract
Using 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.
7 pages, 6 figures, in French, TAIMA'07 conference presentation http://taima.enst-bretagne.fr/