A User-Driven Sampling Model for Large-Scale Geographical Point Data Visualization via Convolutional Neural Networks-Reference-Cited by-同舟云学术

A User-Driven Sampling Model for Large-Scale Geographical Point Data Visualization via Convolutional Neural Networks

Published:2023-10 Issue:5 Volume:53 Page:885-894
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Zhou Zhiguang¹^ORCID,Zheng Fengling²,Wen Jin¹,Chen Yuanyuan³,Li Xinyu⁴,Liu Yuhua¹^ORCID,Wang Yigang¹^ORCID,Chen Wei⁵^ORCID

Affiliation:

1. School of Media and Design, Hangzhou Dianzi University, Hangzhou, China

2. School of Computer Science, Hangzhou Dianzi University, Hangzhou, China

3. Zhejiang Carbon Neutral Innovation Institute, Zhejiang University of Technology, Hangzhou, China

4. School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, China

5. State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Zhejiang Lab Open Research Project

National Statistical Science Research Project

Zhejiang Provincial Science and Technology Program in China

Public Welfare Plan Research Project of Zhejiang Provincial Science and Technology Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10263994/10205517.pdf?arnumber=10205517

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