Personalized broad learning system for facial expression-Reference-Cited by-同舟云学术

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Personalized broad learning system for facial expression

Published:2019-07-23 Issue:23-24 Volume:79 Page:16627-16644
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Han Jing,Xie Lun,Liu Jing,Li Xue

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Advanced Innovation Center for Intelligent Robots and Systems Open Research Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-07979-2.pdf

Reference38 articles.

1. Chang H, Han J, Zhong C, Snijders AM, Mao JH (2018) Unsupervised transfer learning via multi-scale convolutional sparse coding for biomedical applications. IEEE Trans Pattern Anal Mach Intell 40:1182–1194. https://doi.org/10.1109/TPAMI.2017.2656884

2. Chen CLP, Liu Z (2018) Broad learning system: an effective and efficient incremental learning system without the need for deep architecture. IEEE Trans Neural Netw 29:10–24. https://doi.org/10.1109/TNNLS.2017.2716952

3. Chen Z, Jiang B, Tang J et al (2017) Image set representation and classification with attributed covariate-relation graph model and graph sparse representation classification. Neurocomputing 226:262–268. https://doi.org/10.1016/j.neucom.2016.12.004

4. Cho D, Tai YW, Kweon IS (2019) Deep convolutional neural network for natural image matting using initial alpha mattes. IEEE Trans Image Process 28:1054–1067. https://doi.org/10.1109/TIP.2018.2872925

5. Chu WS, De la Torre F, Cohn JF (2017) Selective transfer machine for personalized facial expression analysis. IEEE Trans Pattern Anal Mach Intell 39:529–545. https://doi.org/10.1109/TPAMI.2016.2547397

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