Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection-Reference-Cited by-同舟云学术

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Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection

Published:2024-11 Issue: Volume:682 Page:121276
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Song Peng^ORCID,Zhou Shixuan^ORCID,Mu Jinshuai,Duan Meng,Yu Yanwei,Zheng Wenming

Publisher

Elsevier BV

Reference46 articles.

1. A comprehensive survey on transfer learning;Zhuang;Proc. IEEE,2020

2. Active learning for structural reliability: survey, general framework and benchmark;Moustapha;Struct. Saf.,2022

3. Consensus and complementary regularized non-negative matrix factorization for multi-view image clustering;Li;Inf. Sci.,2023

4. Multi-view learning for hyperspectral image classification: an overview;Li;Neurocomputing,2022

5. Feature selection with multi-view data: a survey;Zhang;Inf. Fusion,2019

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