Multifeature Extreme Ordinal Ranking Machine for Facial Age Estimation
Joint Authors
Zhao, Wei
Wang, Han
Huang, Guang-Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Recently the state-of-the-art facial age estimation methods are almost originated from solving complicated mathematical optimization problems and thus consume huge quantities of time in the training process.
To refrain from such algorithm complexity while maintaining a high estimation accuracy, we propose a multifeature extreme ordinal ranking machine (MFEORM) for facial age estimation.
Experimental results clearly demonstrate that the proposed approach can sharply reduce the runtime (even up to nearly one hundred times faster) while achieving comparable or better estimation performances than the state-of-the-art approaches.
The inner properties of MFEORM are further explored with more advantages.
American Psychological Association (APA)
Zhao, Wei& Wang, Han& Huang, Guang-Bin. 2015. Multifeature Extreme Ordinal Ranking Machine for Facial Age Estimation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074867
Modern Language Association (MLA)
Zhao, Wei…[et al.]. Multifeature Extreme Ordinal Ranking Machine for Facial Age Estimation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074867
American Medical Association (AMA)
Zhao, Wei& Wang, Han& Huang, Guang-Bin. Multifeature Extreme Ordinal Ranking Machine for Facial Age Estimation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074867
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074867