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Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier
Shu,Ting; Zhang,Bob; Tang,Yuan Yan
2019-04
Source PublicationIEEE Access
ISSN2169-3536
Volume7Pages:49669-49679
Abstract

Multi-view data represented in multiple views contains more complementary information than a single view, whereby multi-view learning explores and utilizes the multi-view data. In general, most existing multi-view learning methods consider the correlation between multiple views. However, the relationship between classes and views which is also important in multi-view learning has never been involved in the existing works. In this paper, we propose a fast and effective multi-view nearest-subspace classifier (MV-NSC) by taking advantage of both the two relationships simultaneously. MV-NSC consists of four main parts: 1) projection residual, 2) view-dependent class separability, 3) view similarity, and 4) final decision. The last part combines the first three parts in one final decision matrix, while the first three parts utilize the information of the multi-view data in various aspects. Our proposed method is evaluated on four benchmark datasets and compared with seven other classifiers including both multi- and single-view algorithms. According to the experimental results, it shows that our proposed method is effective, efficient, and robust in multi-view classification.

KeywordAdaption Model Classification Algorithm Multi-view Data Nearest-subspace Classifier View Similarity View-dependent Class Separability
DOI10.1109/ACCESS.2019.2910322
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systemsengineering, Electrical & Electronictelecommunications
WOS IDWOS:000467147100001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85065079337
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Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhang,Bob
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. Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier[J]. IEEE Access,2019,7:49669-49679.
APA Shu,Ting,Zhang,Bob,&Tang,Yuan Yan.(2019).Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier.IEEE Access,7,49669-49679.
MLA Shu,Ting,et al."Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier".IEEE Access 7(2019):49669-49679.
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