Cognitive Gravity Model Based Semi-Supervised Dimension Reduction-Reference-Cited by-同舟云学术

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Cognitive Gravity Model Based Semi-Supervised Dimension Reduction

Published:2017-06-12 Issue:1 Volume:47 Page:253-276
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Sun Yaxin,Ye Qing,Zhu Rong,Wen Guihua

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Guangzhou Science and Technology Planning Project

Zhejiang National Science Foundation

Jiaxing National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s11063-017-9648-9/fulltext.html

Reference51 articles.

1. Martinez AM, Kak AC (2001) PCA versus LDA. IEEE Trans Pattern Anal Mach Intell 23(2):228–233

2. Yu K, Wang Z, Hagenbuchne M, Feng DD (2014) Spectral embedding based facial expression recognition with multiple features. Neurocomputing 129(10):136–145

3. Aifanti N, Delopoulos A (2014) Linear subspaces for facial expression recognition. Signal Process Image Commun 29(1):177–188

4. Yuan LUO, Wu C-M, Zhang Y (2013) Facial expression feature extraction using hybrid PCA and LBP. J China Univ Posts Telecommun 20(2):120–124

5. Rahulamathavan Y, Phan RCW, Chambers JA, Parish DJ (2013) Facial expression recognition in the encrypted domain based on local fisher discriminant. IEEE Trans Affect Comput 4(1):83–92

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