Error-correcting output codes based ensemble feature extraction

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	Error-correcting output codes based ensemble feature extraction
	Zhong, Guoqiang; Liu, Cheng-Lin
发表期刊	PATTERN RECOGNITION
	2013-04-01
卷号	46 期号:4 页码:1091-1100
文章类型	Article
摘要	This paper proposes a novel feature extraction method based on ensemble learning. Using the error-correcting output codes (ECOC) to design binary classifiers (dichotomizers) for separating subsets of classes, the outputs of the dichotomizers are linear or nonlinear features that provide powerful separability in a new space. In this space, the vector quantization based meta classifier can be viewed as an ECOC decoder, where each learned prototype of a class can be seen as a codeword of the class in the new representation space. We conducted extensive experiments on 16 multi-class data sets from the UCI machine learning repository. The results demonstrate the superiority of the proposed method over both existing ECOC approaches and classic feature extraction approaches. In particular, the decoding strategy using a meta classifier is shown to be more computationally efficient than the linear loss-weighted decoding in state-of-the-art ECOC methods. (C) 2012 Elsevier Ltd. All rights reserved.
关键词	Feature Extraction Ensemble Learning Error-correcting Output Codes (Ecoc) Meta Learner
WOS标题词	Science & Technology ; Technology
关键词[WOS]	NONLINEAR DIMENSIONALITY REDUCTION ; CLASSIFIERS ; CLASSIFICATION ; COMBINATION ; LEARNABILITY ; MANIFOLDS ; FRAMEWORK ; MACHINES ; DESIGN ; ECOC
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000313858400001
引用统计	被引频次：26[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3091
专题	多模态人工智能系统全国重点实验室_模式分析与学习
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhong, Guoqiang,Liu, Cheng-Lin. Error-correcting output codes based ensemble feature extraction[J]. PATTERN RECOGNITION,2013,46(4):1091-1100.
APA	Zhong, Guoqiang,&Liu, Cheng-Lin.(2013).Error-correcting output codes based ensemble feature extraction.PATTERN RECOGNITION,46(4),1091-1100.
MLA	Zhong, Guoqiang,et al."Error-correcting output codes based ensemble feature extraction".PATTERN RECOGNITION 46.4(2013):1091-1100.