Recognition of emotions using artificial intelligence techniques

Author:

Pillala Ashwini,Goolla Ravikiran

Publisher

AIP Publishing

Reference12 articles.

1. Ding Hanqing, Liu Nian. (2017). "The Technical Field of Emotion Recognition Research--AnalysisofScientificKnowledge" MapbasedonCiteSpace[J]. Journalism University, (2):119-132, 152.

2. Russakovsky (2012). et al.,"Imagenet Large Scale Visual Recognition Challenge"; Alex Krizhevsky; Ilya Sutskever and Geoffrey E. Hinton, ImageNetClassification with Deep Convolutional Neural Networks, Proceedings of the 25th International Conference on Neural Information ProcessingSystems, LakeTahoe,NV, December3--6,pp. 1097–1105.

3. Sean Gerrish, (2019)."How Intelligent Machines Think: Secrets ofDeep Neural Networks", Translated by Zhang Yi, Beijing:CiticPublishingHouse, page144.

4. Biological learning curves outperform existing ones in artificial intelligence algorithms

5. Wang Xin, Wang Yousheng. (2015). "AReviewofFacialExpressionRecognition Based onDeep Learning and Traditional Machine Learning [J]. Applied Science and Technology", 45 (1):65–72.

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