Research on combined classifier algorithm based on cascade

doi:10.3778/j.issn.1002-8331.2009.31.049

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (31): 165-167.DOI: 10.3778/j.issn.1002-8331.2009.31.049

• 图形、图像、模式识别 • Previous Articles Next Articles

Research on combined classifier algorithm based on cascade

OU Ji-shun¹，ZHU Yu-quan¹，CHEN Geng²，LIU Sheng¹

1.School of Computer Science and Telecommunications Engineering，Jiangsu University，Zhenjiang，Jiangsu 212013，China
2.Jiangsu Key Laboratory of Audit Information Engineering，Nanjing Audit University，Nanjing 210029，China

Received:2008-06-18 Revised:2008-10-23 Online:2009-11-01 Published:2009-11-01
Contact: OU Ji-shun

基于Cascade的增量式组合分类算法研究

欧吉顺¹，朱玉全¹，陈耿²，刘晟¹

1.江苏大学计算机科学与通信工程学院，江苏镇江 212013
2.南京审计学院省级审计信息工程重点实验室，南京 210029

通讯作者: 欧吉顺

Abstract

Abstract: The Learn++ method is applied to improve the Cascade combined classifier，and is applied to lung images classification.The experiment results show that the incremental combined classification method can obviously improve the efficiency at the precondition that assure the accuracy compared with combined classifier.

Key words: multiple classifiers combination, incremental updating, Learn++, Boosting

摘要： 利用Learn++思想对Cascade组合分类器进行了改进，提出了一种基于Cascade的增量式组合分类算法，并将之应用到肝脏图像的分类中。实验结果表明，与原有组合分类器相比，该增量式组合分类方法可以在保证分类准确度的前提下有效地提高新增样本的学习效率。

关键词: 多分类器组合, 增量式更新, Learn++, Boosting

CLC Number:

TP391

OU Ji-shun¹，ZHU Yu-quan¹，CHEN Geng²，LIU Sheng¹. Research on combined classifier algorithm based on cascade[J]. Computer Engineering and Applications, 2009, 45(31): 165-167.

欧吉顺¹，朱玉全¹，陈耿²，刘晟¹. 基于Cascade的增量式组合分类算法研究[J]. 计算机工程与应用, 2009, 45(31): 165-167.

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Research on combined classifier algorithm based on cascade

基于Cascade的增量式组合分类算法研究

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