MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition-Reference-Cited by-同舟云学术

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MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition

Published:2023 Issue: Volume:71 Page:859-872
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Pan Zesi¹^ORCID,Wang Bo²^ORCID,Zhang Ruibin¹^ORCID,Wang Shafei¹,Li Yunjie¹^ORCID,Li Yan³^ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. School of Information Technology and Management, University of International Business and Economics, Beijing, China

3. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

UIBE Excellent Young Scholar Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10036093.pdf?arnumber=10036093

Reference60 articles.

1. A Review on Multi-Label Learning Algorithms

2. Good semi-supervised learning that requires a bad GAN;dai;Proc Adv Neural Inf Process Syst,0

3. Automatic modulation recognition of compound signals using a deep multi-label classifier: A case study with radar jamming signals

4. Dynamic threshold for SPWVD parameter estimation based on Otsu algorithm

5. Semi-supervised learning literature survey;zhu,2005

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