Fisher discrimination multiple kernel dictionary learning for robust identification of nonlinear features in machinery health monitoring-Reference-Cited by-同舟云学术

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Fisher discrimination multiple kernel dictionary learning for robust identification of nonlinear features in machinery health monitoring

Published:2024-08 Issue: Volume:677 Page:120862
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang Xin^ORCID,Yang Tao,Long Hao,Shi Haiyang,Wang Jiaxu,Yang Laihao

Publisher

Elsevier BV

Reference36 articles.

1. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006

2. Kernel recursive least squares dictionary learning algorithm;Alipoor;Digit. Signal Process.,2023

3. S. Arora, W. Hu, P.K. Kothari, An analysis of the t-SNE algorithm for data visualization, (2018).

4. A fast iterative shrinkage-thresholding algorithm for linear inverse problems;Beck;SIAM J. Imaging Sci.,2009

5. Kernel based locality – sensitive discriminative sparse representation for face recognition;Benuwa;Sci. Afr.,2020

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