Dual-Stream Multiple Instance Learning for Depression Detection With Facial Expression Videos
Author:
Affiliation:
1. Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China
2. Tianshui Third People’s Hospital, Tianshui, China
3. Second Provincial People’s Hospital of Gansu, Northwest Minzu University, Lanzhou, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Fundamental Research Funds for Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/09878351.pdf?arnumber=9878351
Reference59 articles.
1. Descriptive temporal template features for visual motion recognition
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3. Depression recognition based on dynamic facial and vocal expression features using partial least square regression
4. SGDR: Stochastic gradient descent with warm restarts;loshchilov;arXiv 1608 03983,2016
5. Representing shape with a spatial pyramid kernel
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