Learning Unsupervised and Supervised Representations via General Covariance-Reference-Cited by-同舟云学术

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Learning Unsupervised and Supervised Representations via General Covariance

Published:2021 Issue: Volume:28 Page:145-149
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Yuan Yun-Hao^ORCID,Li Jin,Li Yun,Gou Jianping^ORCID,Qiang Jipeng^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

China Postdoctoral Science Foundation

Yangzhou Science Project Foundation

Excellent Young Backbone Teacher (Qing Lan) Project and Scientific Innovation Project Fund of YZU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9325893/09290371.pdf?arnumber=9290371

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Many Is Better Than One: Multiple Covariation Learning for Latent Multiview Representation;Communications in Computer and Information Science;2023-11-26

2. Learning Supervised Covariation Projection Through General Covariance;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Landslide Susceptibility Prediction: Improving the Quality of Landslide Samples by Isolation Forests;Sustainability;2022-12-13

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