Open Access
Issue
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
Article Number 01005
Number of page(s) 4
Section Session 1: Robotics
DOI https://doi.org/10.1051/itmconf/20171201005
Published online 05 September 2017
  1. Martín Abadi, Ashish Agarwal, et al: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) [Google Scholar]
  2. Lu Guanming, Shi Wanwan, Xu Li, et al: A kind of convolution neural network for facial expression recognition [J]. Journal of Nanjing University of Posts and Telecommunications (NATURAL SCIENCE EDITION). 2016 (01) [Google Scholar]
  3. Abhineet Saxena: Convolutional neural networks: an illustration in TensorFlow. ACM Crossroads 22(4): 56–58 (2016) [CrossRef] [Google Scholar]
  4. Bo-Kyeong Kim, Jihyeon Roh, Suh-Yeon Dong, Soo-Young Lee: Hierarchical committee of deep convolutional neural networks for robust facial expression recognition. J. Multimodal User Interfaces 10(2): 173–189 (2016) [CrossRef] [Google Scholar]
  5. Zhenhai Liu, Hanzi Wang, Yan Yan, Guanjun Guo: Effective Facial Expression Recognition via the Boosted Convolutional Neural Network. CCCV (1) 2015: 179–188 [Google Scholar]
  6. Mao Xu, Wei Cheng, Qian Zhao, Li Ma, Fang Xu: Facial expression recognition based on transfer learning from deep convolutional networks. ICNC 2015: 702–708 [Google Scholar]
  7. Andre Teixeira Lopes, Edilson de Aguiar, Thiago Oliveira-Santos: A Facial Expression Recognition System Using Convolutional Networks. SIBGRAPI 2015: 273–280 [Google Scholar]
  8. Christian Szegedy, Vincent Vanhoucke, et at: Rethinking the Inception Architecture for Computer Vision. arXiv:1512.00567, 2015. [Google Scholar]
  9. Sergey Ioffe, Christian Szegedy, et al: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. ICML2015: 448–456, 2015. [EDP Sciences] [Google Scholar]
  10. Andre Teixeira Lopes, Edilson de Aguiar, Thiago Oliveira-Santos: A Facial Expression Recognition System Using Convolutional Networks. SIBGRAPI 2015: 273–280 [Google Scholar]
  11. Zhuang Fuzhen, Heqing Luoping, history Zhongzhi: Transfer learning progress of [J]. Journal of software 2015 (01). [Google Scholar]
  12. Andre Teixeira Lopes, Edilson de Aguiar, Thiago Oliveira-Santos: A Facial Expression Recognition System Using Convolutional Networks. SIBGRAPI 2015: 273–280 [Google Scholar]
  13. Christian Szegedy, Liu Wei, et al: Going Deeper with Convolutions. arXiv:1409.4842, 2014. [Google Scholar]
  14. Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton: ImageNet Classification with Deep Convolutional Neural Networks. NIPS 2012: 1106–1114 [Google Scholar]
  15. P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews, “The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression,”in Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on. IEEE, 2010, pp. 94–101. [Google Scholar]
  16. C. Shan, S. Gong, and P. W. McOwan: “Facial expression recognition based on local binary patterns: A comprehensive study,” Image and Vision Computing, vol. 27, no. 6, pp. 803–816, 2009. [CrossRef] [Google Scholar]
  17. Xia Mao, Yu-Li Xue, Zheng Li, Kang Huang, ShanWei Lv: Robust facial expression recognition based on RPCA and AdaBoost. WIAMIS 2009: 113–116 [Google Scholar]
  18. Caifeng Shan, Tommaso Gritti: Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition. BMVC 2008: 1–10 [Google Scholar]
  19. Sung-Oh Lee, Yong-Guk Kim, Gwi-Tae Park: Facial Expression Recognition Based upon Gabor-Wavelets Based Enhanced Fisher Model. ISCIS 2003: 490–496 [Google Scholar]
  20. Ioan Buciu, Constantine Kotropoulos, Ioannis Pitas: ICA and Gabor representation for facial expression recognition. ICIP (2) 2003: 855–858 [Google Scholar]
  21. Kobayashi H, Hara F: The recognition of basic facial expression by neutral network. [C], International Joint Conference on Neural Network. 1991:460–466. [Google Scholar]
  22. E. Friesen and P. Ekman: “Facial action coding system: a technique for the measurement of facial movement,” Palo Alto, 1978. [Google Scholar]
  23. P. Ekman: “Universals and cultural differences in facial expressions of emotion.”in Nebraska symposium on motivation. University of Nebraska Press, 1971. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.