Multi-view multi-label classification has attracted increasing attention because it can characterize complex real-world data from multiple perspectives. However, the simultaneous presence of missing views and labels often causes incomplete feature information and uncertain data distributions, hindering the extraction o...
Jia-Yan Li, Zhi-Xian Jiang, Wen-Bin Bu et al.· Journal of King Saud Univers...· 0 citations
A two-dimensional taxonomy is proposed: the first dimension categorises models based on their methodology, including translation-based models, tensor factorisation-based models, deep neural network-based models, logic rule-based models, and hyperedge expansion-based models, and hyperedge expansion-based models.
Xiao-Huan Lu, L. Tupikina, Mehwish Alam· arXiv.org· 1 citation
The Adaptive Multi-View Transformer with Uncertainty (AMTU) is proposed, designed to exploit complementary information while reducing the discriminative dependency on the integrity of the Available View Set.
Li-Tong Ma, Ya-Lin Zheng, Shan-Shan Wang et al.· Journal of imaging informati...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.