AI-Based Facial Emotion Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7820-5_17
Reference19 articles.
1. Li, K., Jin, Y., Akram, M.W., Han, R., Chen, J.: Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy (2020)
2. Xu, C., Cui, Y., Zhang, Y., Gao, P., Xu, J.: Person-independent facial expression recognition method based on improved Wasserstein generative adversarial networks in combination with identity aware. Multimedia Syst. 26(1), 53–61 (2020)
3. Tang, Y.: Deep learning using linear support vector machines, vol. 1306.0239 (2013)
4. Renda, A., Barsacchi, M., Bechini, A., Marcelloni, F.: Comparing ensemble strategies for deep learning: an application to facial expression recognition. Expert Syst. Appl. 136(11), 1–11 (2019)
5. Lindberg, D.V., Lee, H.K.H.: Optimization under constraints by applying an asymmetric entropy measure. J. Comput. Graph. Stat. 24(2), 379–393 (2015)
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