Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution-Reference-Cited by-同舟云学术

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Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution

Published:2022 Issue: Volume: Page:1-16
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Chu Jielei¹^ORCID,Liu Jing²,Wang Hongjun¹^ORCID,Meng Hua¹,Gong Zhiguo³^ORCID,Li Tianrui¹^ORCID

Affiliation:

1. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

2. School of Business, Sichuan University, Sichuan, Chengdu, China

3. State Key Laboratory of Internet of Things for Smart City, Department of Computer and Information Science, University of Macau, Macau, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09965741.pdf?arnumber=9965741

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