Robust approaches for multi-label face classification

Mohammed, Ahmed Abdulateef and Sajjanhar, Atul 2016, Robust approaches for multi-label face classification, in 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016), IEEE, Piscataway, N.J., pp. 275-280, doi: 10.1109/DICTA.2016.7797076.

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Title Robust approaches for multi-label face classification
Author(s) Mohammed, Ahmed AbdulateefORCID iD for Mohammed, Ahmed Abdulateef
Sajjanhar, AtulORCID iD for Sajjanhar, Atul
Conference name Digital Image Computing: Techniques and Applications. Conference (2016 : Gold Coast, Australia)
Conference location Gold Coast, Australia
Conference dates 2016/11/30 - 2016/12/02
Title of proceedings 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016)
Editor(s) Liew, Alan Wee-Chung
Lovell, Brian
Fookes, Clinton
Zhou, Jun
Gao, Yongsheng
Blumenstein, Michael
Wang, Zhiyong
Publication date 2016
Start page 275
End page 280
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) texture analysis
face classification
Compound Local Binary Pattern
multi-label classification
Science & Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Computer Science
Local Binary Pattern
Non-redundant Local Binary Pattern
Language eng
DOI 10.1109/DICTA.2016.7797076
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, by the Institute of Electrical and Electronic Engineers, Inc.
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