Knowledge distillation-driven semi-supervised multi-view classification
Author:
Funder
China Scholarship Council
Publisher
Elsevier BV
Subject
Hardware and Architecture,Information Systems,Signal Processing,Software
Reference43 articles.
1. Generative multi-view and multi-feature learning for classification;Li;Inf. Fusion,2019
2. Multi-view learning overview: Recent progress and new challenges;Zhao;Inf. Fusion,2017
3. Adaptive collaborative fusion for multi-view semi-supervised classification;Jiang;Inf. Fusion,2023
4. Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization;Chao;Inf. Fusion,2019
5. Semi-supervised multi-view deep discriminant representation learning;Jia;IEEE Trans. Pattern Anal. Mach. Intell.,2020
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1. Robust multi-view clustering via collaborative constraints and multi-layer concept factorization;Applied Intelligence;2024-07-16
2. Sequential attention layer-wise fusion network for multi-view classification;International Journal of Machine Learning and Cybernetics;2024-07-01
3. Inhomogeneous Diffusion-Induced Network for Multiview Semi-Supervised Classification;IEEE Transactions on Neural Networks and Learning Systems;2024
4. Duet: Dually Guided Knowledge Distillation from Explicit Feedback;2024
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