Conference
Open access
Sep 2026
Progressive Adversarial Multi-View Alignment for Unsupervised Embedded Feature Selection with Linear Complexity
A Progressive Adversarial Feature Selection (ProAd-FS) framework for large-scale multi-view learning is proposed, which formulates this static trade-off objective as a dynamic competitive process and achieves state-of-the-art performance while being highly scalable as well.
Shi-Xuan Zhou, Yi Xiang, Hao-Xiang Qin et al.
· Proceedings of the Thirty-Fi... · 0 citations