Multi-label learning based on instance correlation and feature redundancy
Author:
Funder
Department of Education of Liaoning Province
Science and Technology Planning Project of Fuzhou
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference28 articles.
1. Stable label-specific features generation for multi-label learning via mixture-based clustering ensemble;Wang;IEEE/CAA J. Automat. Sin.,2022
2. Enhanced tensor multi-view clustering via dual constraints;Liu;Eng. Appl. Artif. Intell.,2023
3. Multi-label text classification via joint learning from label embedding and label correlation;Liu;Neurocomputing,2021
4. A multi-label text classification method via dynamic semantic representation model and deep neural network;Wang;Appl. Intell.,2020
5. Deep-LIFT: deep label-specific feature learning for image annotation;Li;IEEE Trans. Cybern.,2022
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