Deep Sparse Autoencoder Network for Facial Emotion Recognition

Luefeng Chen*, Min Wu, Witold Pedrycz, Kaoru Hirota

*此作品的通讯作者

科研成果: 书/报告/会议事项章节章节同行评审

4 引用 (Scopus)

摘要

Deep neural network (DNN) has been used as a learning model for modeling the hierarchical architecture of human brain. However, DNN suffers from problems of learning efficiency and computational complexity.

源语言英语
主期刊名Studies in Computational Intelligence
出版商Springer Science and Business Media Deutschland GmbH
25-39
页数15
DOI
出版状态已出版 - 2021
已对外发布

出版系列

姓名Studies in Computational Intelligence
926
ISSN(印刷版)1860-949X
ISSN(电子版)1860-9503

指纹

探究 'Deep Sparse Autoencoder Network for Facial Emotion Recognition' 的科研主题。它们共同构成独一无二的指纹。

引用此