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A Multiclass Classification Method Based on Multiple Pairwise Classifiers
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227774Seventh International Conference on D ...
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Tomoyuki Hamamura, Hiroyuki Mizutani, Bunpei Irie, "A Multiclass Classification Method Based on Multiple Pairwise Classifiers," Document Analysis and Recognition, International Conference on, vol. 2, pp. 809, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227774,
author = {Tomoyuki Hamamura and Hiroyuki Mizutani and Bunpei Irie},
title = {A Multiclass Classification Method Based on Multiple Pairwise Classifiers},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2003},
isbn = {0-7695-1960-1},
pages = {809},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227774},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - A Multiclass Classification Method Based on Multiple Pairwise Classifiers
SN - 0-7695-1960-1
SP
EP
A1 - Tomoyuki Hamamura,
A1 - Hiroyuki Mizutani,
A1 - Bunpei Irie,
PY - 2003
KW - null
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
Tomoyuki Hamamura, Toshiba Corp
Hiroyuki Mizutani, Toshiba Corp
Bunpei Irie, Toshiba Corp
In this paper, a new method of composing a multi-class classifier using pairwise classifiers is proposed. A "Resemblance Model" is exploited to calculate a posteriori probability for combining pairwise classifiers. We proved the validity of this model by using approximation of a posteriori probability formula. Using this theory, we can obtain the optimal decision. An experimental result of handwritten numeral recognition is presented, supporting the effectiveness of our method.
Citation:
Tomoyuki Hamamura, Hiroyuki Mizutani, Bunpei Irie, "A Multiclass Classification Method Based on Multiple Pairwise Classifiers," icdar, vol. 2, pp.809, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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