Facial Expression Recognition Algorithm Based on the Combination of CNN and K-Means-Reference-Cited by-同舟云学术

Facial Expression Recognition Algorithm Based on the Combination of CNN and K-Means

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19
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Author:

Cao Tongtong¹,Li Ming¹

Affiliation:

1. Lanzhou University of Technology, Gansu Lanzhou, P.R. China

Publisher

ACM Press

Reference13 articles.

1. Li W, Li M, Su Z, et al. A deep-learning approach to facial expression recognition with candid images[C]// Iapr International Conference on Machine Vision Applications. IEEE, 2015:279--282.

2. Ige E O, Debattista K, Chalmers A. Towards HDR Based Facial Expression Recognition under Complex Lighting[C]// Computer Graphics International. ACM, 2016:49--52.

3. Al-Sumaidaee S A M, Dlay S S, Woo W L, et al. Facial expression recognition using local Gabor gradient code-horizontal diagonal descriptor[C]// Iet International Conference on Intelligent Signal Processing. IET, 2016.

4. Song Huansheng, Zhang Xiangqing, Zheng Baofeng, et al. Vehicle target detection in complex scenes based on deep learning method[J]. Journal of Computer Applications, 2018(4).

5. Krizhevsky A, Sutskever I, Hinton G. Imagenet classification with deep convolutional neural networks[C]// Advances in Neural Information Processing Systems. 2012: 1106--1114.

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