Exploring of alternative representations of facial images for face recognition-Reference-Cited by-同舟云学术

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Exploring of alternative representations of facial images for face recognition

Published:2020-04-03 Issue:10 Volume:11 Page:2289-2295
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Qin Yongbin,Sun Lilei,Xu Yong

Funder

Major Research Program of the National Natural Science Foundation of China

the Major Applied Basic Research Program of Guizhou Province

the Major Special Science and Technology Projects of Guizhou Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-020-01116-4.pdf

Reference49 articles.

1. Kan M, Wu J, Shan S, Chen X (2014) Domain adaptation for face recognition: targetize source domain bridged by common subspace. Int J Comput Vis 109(1–2):94–109

2. Kim SG, Chang DY (2009) Underdetermined blind source separation based on subspace representation. IEEE Trans Signal Process 57(7):2604–2614

3. Fan Z, Xu Y, Zuo W, Yang J, Tang J, Lai Z, Zhang D (2017) Modified principal component analysis: an integration of multiple similarity subspace models. IEEE Trans Neural Netw Learn Syst 25(8):1538–1552

4. Lai Z, Mo D, Wen J, Shen L, Wong WK (2018) Generalized robust regression for jointly sparse subspace learning. IEEE Trans Circuits Syst Video Technol 29(3):756–772

5. Li Z, Zhang Z, Qin J, Zhang Z, Shao L (2020) Discriminative fisher embedding dictionary learning algorithm for object recognition. IEEE Trans Neural Netw Learn Syst 31(3):786–800

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