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Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning

In this paper, we proposed a novel end-to-end transductive deep transfer learning network (TDTLN) to deal with the challenging cross-domain expression recognition problem, in which both the source and target databases are utilized to jointly learn optimal nonlinear discriminative features so as to i...

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Detalles Bibliográficos
Principais autores: Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Chuangao Tang, Cheng Lu, Zhen Cui
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2019-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/8786815/
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