Image recognition algorithm based on multiclass online boosting

CORC > 北京大学 > 信息科学技术学院

	Image recognition algorithm based on multiclass online boosting
	Huo, Hongwen ; Feng, Jufu
刊名	jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics
	2011
英文摘要	Aiming at the difficulty of applying online Boosting to multiclass image recognition, a new online Boosting algorithm based on error-correcting output code (ECOC) is presented. In this algorithm, a function for class label mapping is used when calculating the error rates of weak classifiers. Furthermore, the method to update the weights of training samples and weak classifiers are both given. The experiment results on different database show this algorithm is accurate and robust.; EI; 0; 7; 1194-1199; 23
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294645]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Huo, Hongwen,Feng, Jufu. Image recognition algorithm based on multiclass online boosting[J]. jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics,2011.
APA	Huo, Hongwen,&Feng, Jufu.(2011).Image recognition algorithm based on multiclass online boosting.jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics.
MLA	Huo, Hongwen,et al."Image recognition algorithm based on multiclass online boosting".jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics (2011).