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ICPR
2000
IEEE

Unsupervised Segmentation of Poisson Data

8 years 10 months ago
Unsupervised Segmentation of Poisson Data
This paper describes a new 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.
Robert D. Nowak, Mário A. T. Figueiredo
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Robert D. Nowak, Mário A. T. Figueiredo
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