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Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification
Shu,Ting; Zhang,Bob; Tang,Yuan Yan
2020-08-01
Source PublicationIEEE Transactions on Neural Networks and Learning Systems
ISSN2162-237X
Volume31Issue:8Pages:2847-2856
Abstract

The sparse representation-based classification (SRC) has been utilized in many applications and is an effective algorithm in machine learning. However, the performance of SRC highly depends on the data distribution. Some existing works proved that SRC could not obtain satisfactory results on uncontrolled data sets. Except the uncontrolled data sets, SRC cannot deal with imbalanced classification either. In this paper, we proposed a model named sparse supervised representation classifier (SSRC) to solve the above-mentioned issues. The SSRC involves the class label information during the test sample representation phase to deal with the uncontrolled data sets. In SSRC, each class has the opportunity to linearly represent the test sample in its subspace, which can decrease the influences of the uncontrolled data distribution. In order to classify imbalanced data sets, a class weight learning model is proposed and added to SSRC. Each class weight is learned from its corresponding training samples. The experimental results based on the AR face database (uncontrolled) and 15 KEEL data sets (imbalanced) with an imbalanced rate ranging from 1.48 to 61.18 prove SSRC can effectively classify uncontrolled and imbalanced data sets.

KeywordData Driven Face Recognition Imbalanced Classification Spare Supervised Representation-based Classifier (Ssrc) Sparse Representation-based Classification (Src)
DOI10.1109/TNNLS.2018.2884444
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000557365700014
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
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Cited Times [WOS]:7   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorShu,Ting; Zhang,Bob; Tang,Yuan Yan
AffiliationDepartment of Computer and Information Science,University of Macau,999078,Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Shu,Ting,Zhang,Bob,Tang,Yuan Yan. Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification[J]. IEEE Transactions on Neural Networks and Learning Systems,2020,31(8):2847-2856.
APA Shu,Ting,Zhang,Bob,&Tang,Yuan Yan.(2020).Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification.IEEE Transactions on Neural Networks and Learning Systems,31(8),2847-2856.
MLA Shu,Ting,et al."Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification".IEEE Transactions on Neural Networks and Learning Systems 31.8(2020):2847-2856.
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