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Ensemble-based discriminant learning with boosting for face recognition
Lu, JW; Plataniotis, KN; Venetsanopoulos, AN; Li, SZ
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS
2006
卷号17期号:1页码:166-178
文章类型Article
摘要In this paper, we propose a novel ensemble-based approach to boost performance of traditional Linear Discriminant Analysis (LDA)-based methods used in face recognition. The ensemble-based approach is based on the recently emerged technique known as "boosting:' However, it is generally believed that boosting-like learning rules are not suited to a strong and stable learner such as LDA. To break the limitation, a novel weakness analysis theory is developed here. The theory attempts to boost a strong learner by increasing the diversity between the classifiers created by the learner, at the expense of decreasing their margins 9 so as to achieve a tradeoff suggested by recent boosting studies for a low generalization error. In addition, a novel distribution accounting for the pairwise class discriminant information is introduced for effective interaction between the booster and the LDA-based learner. The integration of all these methodologies proposed here leads to the novel ensemble-based discriminant learning approach, capable of taking advantage of both the boosting and LDA techniques. Promising experimental results obtained on various difficult face recognition scenarios demonstrate the effectiveness of the proposed approach. We believe that this work is especially beneficial in extending the boosting framework to accommodate general (strong/weak) learners.
关键词Boosting Face Recognition (Fr) Linear Discriminant Analysis Machine Learning Mixture Of Linear Models Small-sample-size (Sss) Problem Strong Learner
WOS标题词Science & Technology ; Technology
关键词[WOS]SAMPLE-SIZE PROBLEM ; ALGORITHMS ; KERNEL ; CLASSIFIERS ; REDUCTION ; SUBSPACES
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000235536300015
引用统计
被引频次:110[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/173211/9335
专题09年以前成果
作者单位1.Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
2.Chinese Acad Sci, Ctr Biometr & Secur Res, Inst Automat, Beijing 100080, Peoples R China
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Lu, JW,Plataniotis, KN,Venetsanopoulos, AN,et al. Ensemble-based discriminant learning with boosting for face recognition[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2006,17(1):166-178.
APA Lu, JW,Plataniotis, KN,Venetsanopoulos, AN,&Li, SZ.(2006).Ensemble-based discriminant learning with boosting for face recognition.IEEE TRANSACTIONS ON NEURAL NETWORKS,17(1),166-178.
MLA Lu, JW,et al."Ensemble-based discriminant learning with boosting for face recognition".IEEE TRANSACTIONS ON NEURAL NETWORKS 17.1(2006):166-178.
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