2 papers
cs.LG2025
Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation
Yuxin Cai, Yanyong Huang, Jinyuan Chang +3
Feature and instance co-selection, which aims to reduce both feature dimensionality and sample size by identifying the most informative features and instances, has attracted consid…
cs.LG2024
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection
Yanyong Huang, Yuxin Cai, Dongjie Wang +2
The objective of multi-view unsupervised feature and instance co-selection is to simultaneously iden-tify the most representative features and samples from multi-view unlabeled dat…