The design of error-correcting output codes based deep forest for the micro-expression recognition
Author:
Funder
National Natural Science Foundation of China
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03590-5.pdf
Reference71 articles.
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3. Rolls E, Ekman P, Perrett D, Ellis H (1992) Facial expressions of emotion: an old controversy and new findings: discussion. Philosophical Trans Royal Soc London Series B 335:69–69
4. Wu Q, Shen X, Fu X (2011) The machine knows what you are hiding: an automatic micro-expression recognition system. In international conference on affective computing and intelligent interaction. 2011. Springer
5. Hurley CM, Anker AE, Frank MG, Matsumoto D, Hwang HC (2014) Background factors predicting accuracy and improvement in micro expression recognition. Motiv Emot 38(5):700–714
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