Unsupervised segmentation of Poisson data
Robert D. Nowak, Mário A. T. Figueiredo · 2002
Describes an approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Specifically, we describe a fully unsupervised recursive segmentation algorithm for 1D and 2D observations. Experiments illustrate the good performance of the proposed methods.