Robust Fuzzy Multi-view Learning under View Conflict 事件

Robust Fuzzy Multi-view Learning under View Conflict arXiv:2605.24475v1 Announce Type: new Abstract: Trusted multi-view classification aims to deliver reliable fusion for accurate predictions and has recently attracted substantial attention in both academia and industry. However, existing TMVC methods typically assume strict alignment across different views during both training and testing phases, which is often impractical in real-world scenarios. This limitation motivates us to revisit TMVC a