Integrating Globality and Locality for Robust Representation Based Classification
Joint Authors
Wang, Long
Xie, Binglei
Zhang, Zheng
Li, Zhengming
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The representation based classification method (RBCM) has shown huge potential for face recognition since it first emerged.
Linear regression classification (LRC) method and collaborative representation classification (CRC) method are two well-known RBCMs.
LRC and CRC exploit training samples of each class and all the training samples to represent the testing sample, respectively, and subsequently conduct classification on the basis of the representation residual.
LRC method can be viewed as a “locality representation” method because it just uses the training samples of each class to represent the testing sample and it cannot embody the effectiveness of the “globality representation.” On the contrary, it seems that CRC method cannot own the benefit of locality of the general RBCM.
Thus we propose to integrate CRC and LRC to perform more robust representation based classification.
The experimental results on benchmark face databases substantially demonstrate that the proposed method achieves high classification accuracy.
American Psychological Association (APA)
Zhang, Zheng& Li, Zhengming& Xie, Binglei& Wang, Long. 2014. Integrating Globality and Locality for Robust Representation Based Classification. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-470395
Modern Language Association (MLA)
Zhang, Zheng…[et al.]. Integrating Globality and Locality for Robust Representation Based Classification. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-470395
American Medical Association (AMA)
Zhang, Zheng& Li, Zhengming& Xie, Binglei& Wang, Long. Integrating Globality and Locality for Robust Representation Based Classification. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-470395
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470395