Abnormal Condition Monitoring Based on Multiview Data Collaborative Feature Regression-Reference-Cited by-同舟云学术

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Abnormal Condition Monitoring Based on Multiview Data Collaborative Feature Regression

Published:2023 Issue: Volume:72 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ma Chuan¹^ORCID,Zhang Yingwei²^ORCID,Bi Zhuming³^ORCID

Affiliation:

1. School of Information Science and Engineering, Northeastern University, Shenyang, China

2. State Laboratory of Synthesis Automation of Process Industry, Northeastern University, Shenyang, China

3. Department of Civil and Mechanical Engineering, Purdue University Fort Wayne, Fort Wayne, IN, USA

Funder

Liaoning Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10129838.pdf?arnumber=10129838

Reference29 articles.

1. EasyMKL: a scalable multiple kernel learning algorithm

2. Multiple kernel learning algorithms;gönen;J Mach Learn Res,2011

3. A survey of multilinear subspace learning for tensor data

4. Subspace Learning

5. Modified Co-Training With Spectral and Spatial Views for Semisupervised Hyperspectral Image Classification

Cited by 1 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. Statistical Process Monitoring Based on General Semi–Nonnegative Matrix Factorization;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

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