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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Robust Multihypothesis Discrimination of Controlled I.I.D. Processes
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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St?phane Herbin, "Robust Multihypothesis Discrimination of Controlled I.I.D. Processes," Pattern Recognition, International Conference on, vol. 1, pp. 200-203, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334058,
author = {St?phane Herbin},
title = {Robust Multihypothesis Discrimination of Controlled I.I.D. Processes},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {200-203},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334058},
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 - Robust Multihypothesis Discrimination of Controlled I.I.D. Processes
SN - 1051-4651
SP200
EP203
A1 - St?phane Herbin,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
St?phane Herbin, ONERA, France
This paper describes a general framework for the robust discrimination of objects represented as a family of i.i.d. random distributions. Testing is based on accumulating evidences on the discrimination between all-pairs of hypotheses by sampling the family of distributions according to an optimal control law. The optimality criterion is built on constraint satisfaction issues.
An application on 2D rotation invariant shape recognition with noisy contours illustrates the approach.
Citation:
St?phane Herbin, "Robust Multihypothesis Discrimination of Controlled I.I.D. Processes," icpr, vol. 1, pp.200-203, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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