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Unsupervised Segmentation of Poisson Data
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90350815th International Conference on Patt ...
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Robert D. Nowak, Mário A.T. Figueiredo, "Unsupervised Segmentation of Poisson Data," Pattern Recognition, International Conference on, vol. 3, pp. 3159, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.903508,
author = {Robert D. Nowak and Mário A.T. Figueiredo},
title = {Unsupervised Segmentation of Poisson Data},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2000},
isbn = {0-7695-0750-6},
pages = {3159},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903508},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Unsupervised Segmentation of Poisson Data
SN - 0-7695-0750-6
SP
EP
A1 - Robert D. Nowak,
A1 - Mário A.T. Figueiredo,
PY - 2000
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Robert D. Nowak, Rice University
Mário A.T. Figueiredo, Instituto Superior T?cnico
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.
Citation:
Robert D. Nowak, Mário A.T. Figueiredo, "Unsupervised Segmentation of Poisson Data," icpr, vol. 3, pp.3159, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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