Multi-label feature selection with constraint regression and adaptive spectral graph-Reference-Cited by-同舟云学术

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Multi-label feature selection with constraint regression and adaptive spectral graph

Published:2021-01 Issue: Volume:212 Page:106621
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Fan Yuling,Liu Jinghua,Weng Wei,Chen Baihua,Chen Yannan,Wu Shunxiang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province, China

Key Laboratory of Data Science and Intelligence Application, Minnan Normal University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference54 articles.

1. Manifold regularized discriminative feature selection for multi-label learning;Zhang;Pattern Recognit.,2019

2. Granular multi-label feature selection based on mutual information;Li;Pattern Recognit.,2017

3. Web image annotation via subspace-sparsity collaborated feature selection;Ma;IEEE Trans. Multimed.,2012

4. X. Cai, F. Nie, W. Cai, H. Huang, New graph structured sparsity model for multi-label image annotations, in: Proceedings of the 14th IEEE International Conference on Computer Vision, 2013, pp. 801–808.

5. Memetic feature selection for multilabel text categorization using label frequency difference;Lee;Inform. Sci.,2019

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