Multi-class classifier based on support vector machines and similar binary tree

被引：0

作者：

Chen, Zengzhao ^{[1
]}

Yang, Yang ^{[1
]}

He, Xiuling ^{[1
]}

Dong, Cailin ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Informat Sch, Beijing 100083, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

support vector machine; multi-class classification; Chinese character recognition; similar binary tree;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：618 / 618

页数：1