Behavioral feature recognition of multi-task compressed sensing with fusion relevance in the Internet of Things environment-Reference-Cited by-同舟云学术

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Behavioral feature recognition of multi-task compressed sensing with fusion relevance in the Internet of Things environment

Published:2020-05 Issue: Volume:157 Page:381-393
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Sun Zhiyong,Ye Junyong,Wang Tongqing,Huang Shijian,Luo Jin

Funder

Project of Chongqing Basic Research and Frontier Technology Research Program

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference26 articles.

1. Special issue on device-free sensing for human behavior recognition;Guo;Pers. Ubiquitous Comput.,2019

2. Wi-Fi CSI-based behavior recognition: From signals and actions to activities;Zhu;IEEE Commun. Mag.,2018

3. META-DES: A dynamic ensemble selection framework using meta-learning;Cruz;Pattern Recognit.,2015

4. Disruptive physician behavior: The importance of recognition and intervention and its impact on patient safety;John;J. Hosp. Med.,2018

5. Image segmentation with arbitrary noise models by solving minimal surface problems;Tenbrinck;Pattern Recognit.,2015

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