CASIA OpenIR  > 模式识别国家重点实验室  > 模式分析与学习
Error-correcting output codes based ensemble feature extraction
Zhong, Guoqiang; Liu, Cheng-Lin
Source PublicationPATTERN RECOGNITION
2013-04-01
Volume46Issue:4Pages:1091-1100
SubtypeArticle
AbstractThis 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.
KeywordFeature Extraction Ensemble Learning Error-correcting Output Codes (Ecoc) Meta Learner
WOS HeadingsScience & Technology ; Technology
WOS KeywordNONLINEAR DIMENSIONALITY REDUCTION ; CLASSIFIERS ; CLASSIFICATION ; COMBINATION ; LEARNABILITY ; MANIFOLDS ; FRAMEWORK ; MACHINES ; DESIGN ; ECOC
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000313858400001
Citation statistics
Cited Times:16[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3091
Collection模式识别国家重点实验室_模式分析与学习
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhong, Guoqiang]'s Articles
[Liu, Cheng-Lin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhong, Guoqiang]'s Articles
[Liu, Cheng-Lin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhong, Guoqiang]'s Articles
[Liu, Cheng-Lin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.