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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
The Mean Shift Algorithm and the Unified Framework
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
x 
 
Arnaldo J. Abrantes, Jorge S. Marques, "The Mean Shift Algorithm and the Unified Framework," Pattern Recognition, International Conference on, vol. 1, pp. 244-247, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2004.1334069,
author = {Arnaldo J. Abrantes and Jorge S. Marques},
title = {The Mean Shift Algorithm and the Unified Framework},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {244-247},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334069},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - The Mean Shift Algorithm and the Unified Framework
SN - 1051-4651
SP244
EP247
A1 - Arnaldo J. Abrantes,
A1 - Jorge S. Marques,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
This paper considers two classes of algorithms for the representation of data points using centroids: the unified framework and the mean shift algorithm. The relationship between both approaches is presented showing that the mean shift algorithm fits within the unified framework being equivalent to snake with Cohen potential. However it does not use competitive learning as the other methods considered in the unified framework. The advantages of both types of techniques are exemplified through examples.
Citation:
Arnaldo J. Abrantes, Jorge S. Marques, "The Mean Shift Algorithm and the Unified Framework," icpr, vol. 1, pp.244-247, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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