Face Emotion Recognition Based on Images Using the Haar-Cascade Front End Approach

Author:

Pushpa G. Gowri,Kotti Jayasri,Bindumadhuri Ch.

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Sariyanidi, E., Gunes, H., Cavallaro, A.: Automatic analysis of facial affect: a survey of registration, representation, and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1113–1133 (2015)

2. O'Shea, K., Nash, R.: An Introduction to Convolutional Neural Networks. arXiv:1511.08458v1 [cs.NE], 26 Nov 2015

3. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(56), 1929−1958 (2014)

4. Daneshmand, H., Kohler, J., Bach, F., Hofmann, T., Lucchi, A.: Batch normalization provably avoids rank collapse for randomly initialised deep networks. arXiv:2003.01652v3 [stat.ML11], June 2020

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