Facial Expression Recognition via a Boosted Deep Belief Network

CVPR 2014 Ping LiuShizhong HanZibo MengYan Tong

A training process for facial expression recognition is usually performed sequentially in three individual stages: feature learning, feature selection, and classifier construction. Extensive empirical studies are needed to search for an optimal combination of feature representation, feature set, and classifier to achieve good recognition performance... (read more)

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