Mengling Wei

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing

Unsupervised multi-view feature selection involves selecting a subset of crucial features across diverse views to diminish feature dimensionality without leveraging label information. While numerous studies have delved into this area, current solutions predominantly rely on linear multi-view data or…