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Feature combination using boosting
Yin, XC; Liu, CP; Han, Z
AbstractCombining all features coded by different systems can improve the performance of a classification system. In this paper, a strategy of boosting based feature combination is introduced, where a variant of boosting is proposed for integrating different features. Different from the general boosting, at each round of this variant boosting, some weak classifiers are built on different feature sets, one of which is trained on one feature set. And then these classifiers are combined by weighted voting into a single one as the output classifier of this round. Experiments on classification of three UCI data sets and handwritten digit recognition indicate that this variant of boosting is a promising learning algorithm for feature combination. To some extent, this strategy of feature combination can integrate feature selection, feature communication, and classifier learning in its learning procedure. (c) 2005 Elsevier B.V. All rights reserved.
KeywordFeature Combination Boosting Weak Classifiers Classification
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000232527200007
Citation statistics
Cited Times:42[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Inst Automat, Character Recognit Engn Ctr, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yin, XC,Liu, CP,Han, Z. Feature combination using boosting[J]. PATTERN RECOGNITION LETTERS,2005,26(14):2195-2205.
APA Yin, XC,Liu, CP,&Han, Z.(2005).Feature combination using boosting.PATTERN RECOGNITION LETTERS,26(14),2195-2205.
MLA Yin, XC,et al."Feature combination using boosting".PATTERN RECOGNITION LETTERS 26.14(2005):2195-2205.
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