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Learned Features are Better for Ethnicity Classification Cover

Learned Features are Better for Ethnicity Classification

Cybernetics and Information Technologies
Volume 17 (2017): Issue 3 (September 2017)
By:  and    
Open Access
|Oct 2017
Authors

Authors

Inzamam Anwar

inzimammanzoor@gmail.com

Intelligent Systems Research Institute (ISRI), College of Information and Communication Engineering, Sungkyunkwan University, Suwon

Naeem Ul Islam

naeem@skku.edu

Intelligent Systems Research Institute (ISRI), College of Information and Communication Engineering, Sungkyunkwan University, Suwon
DOI: https://doi.org/10.1515/cait-2017-0036 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
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Language: English
Page range: 152 - 164
Published on: Oct 4, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Keywords:
Ethnicity recognition,
race classification,
Convolutional Neural Network (CNN),
VGG Face,
Support Vector Machine (SVM)
Related subjects:
Computer sciences,
Information technology

© 2017 Inzamam Anwar, Naeem Ul Islam, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 17 (2017): Issue 3 (September 2017)
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