DocumentCode
582235
Title
Multi-sphere classification algorithm based on 1-SVM
Author
Hongbo, Wang ; Guangzhou, Zhao ; Yilong, Qu ; Donglian, Qi
Author_Institution
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear
2012
fDate
25-27 July 2012
Firstpage
3989
Lastpage
3995
Abstract
The multi-sphere 1-SVM classifier(MSVDD) is proposed by expending the 1-SVM to multi-class model. When classifying, in order to ensure that boundaries are obtained using 1-SVM tight enough for characterizing all classes in a given data set, introduce implicitly decomposition tactics, and propose MSVDD method in two different mathematical formulations in this paper. The simulation results show that the algorithm can be efficiently applied to License Plate Recognition System.
Keywords
image classification; object recognition; support vector machines; traffic engineering computing; video surveillance; MSVDD; decomposition tactics; license plate recognition system; mathematical formulation; multiclass model; multisphere 1-SVM classifier; multisphere support vector data description; Classification algorithms; Educational institutions; Electrical engineering; Electronic mail; Glass; Licenses; Support vector machines; 1-SVM; license plate recognition; multi-sphere; multiple classifiers;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390625
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