DocumentCode
2749480
Title
Multi-class Classifier Based on Support Vector Machines and Similar Binary Tree
Author
Chen, Zengzhao ; Yang, Yang ; He, Xiuling ; Dong, Cailin
Author_Institution
Inf. Sch. of Univ. of Sci. & Technol., Beijing
Volume
2
fYear
0
fDate
0-0 0
Firstpage
10041
Lastpage
10044
Abstract
The method of multi-class classification based support vector machines is researched. After comparing some common multi-class SVMS, and proposes a multi-class classified method based on similar binary tree. The constructing algorithm of similar binary tree is given and its effectivity is discussed. Experiment results show that the algorithm improves the classifying speed without debasing the classifying precision
Keywords
pattern classification; support vector machines; trees (mathematics); multiclass classification; similar binary tree; support vector machines; Binary trees; Character recognition; Classification tree analysis; Electronic mail; Helium; Mathematics; Optimal control; Support vector machine classification; Support vector machines; Virtual colonoscopy; Chinese character recognition; multi-class classification; similar binary tree; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713963
Filename
1713963
Link To Document