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Manifold learning with structured subspace for multi-label feature selection

  • Published:2021-12 Issue: Volume:120 Page:108169
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Fan Yuling,Liu Jinghua,Liu Peizhong,Du Yongzhao,Lan Weiyao,Wu Shunxiang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Multi-label feature selection via global relevance and redundancy optimization;Zhang,2020

2. A label-specific multi-label feature selection algorithm based on the Pareto dominance concept;Kashef;Pattern Recognit.,2019

3. A locality-constrained and label embedding dictionary learning algorithm for image classification;Li;IEEE Trans. Neural Netw. Learn. Syst.,2015

4. Feature ranking for enhancing boosting-based multi-label text categorization;Al-Salemi;Expert Syst. Appl.,2018

5. Lift: multi-label learning with label-specific features;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2014

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