A review of facial gender recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-015-0499-6.pdf
Reference150 articles.
1. Abdi H., Valentin D, Edelman B, O’Toole A (1995) More about the difference between men and women: evidence from linear neural networks and the principal-component approach. Perception 24(5):539–62 (1995)
2. Aghajanian J, Warrell J, Prince SJD, Rohn JL, Baum B (2009) Patch-based within-object classification. In: 2009 IEEE 12th international conference on computer vision. IEEE, pp 1125–1132
3. Ahmed A, Yu K, Xu W, Gong Y, Xing E (2008) Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks. In: Computer Vision-ECCV 2008, pp 69–82
4. Alexandre LA (2012) Gender recognition: a multiscale decision fusion approach. Pattern Recognit Lett 31(11):1422–1427. doi: 10.1016/j.patrec.2010.02.010
5. Alomar FA, Muhammad G, Aboalsamh H, Hussain M, Mirza AM, Bebis G (2013) Gender recognition from faces using bandlet and local binary patterns. In: 2013 20th international conference on systems, signals and image processing (IWSSIP). IEEE, pp 59–62. doi: 10.1109/IWSSIP.2013.6623449
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