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16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)
A Simplification to Support Vector Machine for the Second Training
Hangzhou, China
November 29-December 01
ISBN: 0-7695-2754-X
ASCII Text
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Jinglong Fang, Shuo Chen, Zhigeng Pan, Yigang Wang, "A Simplification to Support Vector Machine for the Second Training," International Conference on Artificial Reality and Telexistence, pp. 73-78, 16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICAT.2006.27,
author = {Jinglong Fang and Shuo Chen and Zhigeng Pan and Yigang Wang},
title = {A Simplification to Support Vector Machine for the Second Training},
journal ={International Conference on Artificial Reality and Telexistence},
volume = {0},
year = {2006},
isbn = {0-7695-2754-X},
pages = {73-78},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICAT.2006.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Conference on Artificial Reality and Telexistence
TI - A Simplification to Support Vector Machine for the Second Training
SN - 0-7695-2754-X
SP73
EP78
A1 - Jinglong Fang,
A1 - Shuo Chen,
A1 - Zhigeng Pan,
A1 - Yigang Wang,
PY - 2006
KW - null
VL - 0
JA - International Conference on Artificial Reality and Telexistence
ER -
 
Jinglong Fang, Hangzhou Dianzi University, China
Shuo Chen, Hangzhou Dianzi University, China
Zhigeng Pan, Zhejiang University, China
Yigang Wang, Hangzhou Dianzi University, China
For complicated recognition problem, the number of support vectors is large and recognition speed is low, because some sample were divided into section by error this time. To solve this problem, a method is bought to simplify the support vector machines based the minimal misestimate margin idea. Experiments show that this new support vector machine not only reduces the number of support vectors and recognition time but also has the same accuracy as (even better than) traditional support vector machine.
Citation:
Jinglong Fang, Shuo Chen, Zhigeng Pan, Yigang Wang, "A Simplification to Support Vector Machine for the Second Training," icat, pp.73-78, 16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006
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