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- W4385408073 abstract "Facial expression classification is widely used in various research fields. This paper putts forward to an algorithm based on deep learning to solve the problem. Firstly, it segments the facial region and transforms it to gray image, then constructs a convolutional neural network which includes convolution layers and max-pooling layers and full connection layers. The network can classify the facial expression to two categories which are happiness and sadness. Experiments are used to test and verify the network. And it has achieved good results" @default.
- W4385408073 created "2023-08-01" @default.
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- W4385408073 date "2023-08-01" @default.
- W4385408073 modified "2023-09-27" @default.
- W4385408073 title "An algorithm of facial expression classification based on deep learning" @default.
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- W4385408073 doi "https://doi.org/10.1117/12.2689196" @default.
- W4385408073 hasPublicationYear "2023" @default.
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