Author:
Sun Zhe,Hu Zheng-ping,Chiong Raymond,Wang Meng,Zhao Shuhuan
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hebei Province of China
Postgraduate Innovation Project of Hebei Province
China Scholarship Council
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference38 articles.
1. Lee, S.H., Baddar, W.J., Ro, Y.M.: Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos. Pattern Recognit. 54(C), 52–67 (2016)
2. Yusuf, R., Sharma, D.G., Tanev, I., Shimohara, K.: Evolving an emotion recognition module for an intelligent agent using genetic programming and a genetic algorithm. Artif. Life Robot. 21(1), 85–90 (2016)
3. Wang, Y., Wang, C., Liang, L.: Sparse representation theory and its application for face recognition. Int. J. Smart Sens. Intell. Syst. 8(1), 107–124 (2015)
4. Fang, Y., Chang, L.: Multi-instance feature learning based on sparse representation for facial expression recognition. Lect. Notes Comput. Sci. 8935, 224–233 (2015)
5. Deng, X., Da, F., Shao, H.: Adaptive feature selection based on reconstruction residual and accurately located landmarks for expression-robust 3D face recognition. Signal Image Video Process. 11, 1305–1312 (2017)
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献