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.LG2025
Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection
Zongxin Shen, Yanyong Huang, Dongjie Wang +4
Incomplete multi-view unsupervised feature selection (IMUFS), which aims to identify representative features from unlabeled multi-view data containing missing values, has received…