Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order
Facial expression recognition has been an active research area in the past 10 years, with growing application areas including avatar animation, neuromarketing and sociable robots. The recognition of facial expressions is not an easy problem for machine learning methods, since people can vary signifi...
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Published in | Pattern recognition Vol. 61; pp. 610 - 628 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2017
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Subjects | |
Online Access | Get full text |
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