We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...
Abstract: This article proposes a subspace-aided distributed monitoring and control performance optimization integrated framework and the corresponding distributed monitoring and optimization ...
Abstract: Multiview Subspace Clustering (MvSC) has demonstrated impressive clustering performance on multiview data. Most existing methods rely on either raw features or reduced-redundancy data for ...
πŸŽ‰The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" [paper](CVPR24) in PyTorch. If you use any content of this repo for your work, please ...
πŸŽ‰πŸŽ‰πŸŽ‰ Our paper has been accepted by ICML 2025 Oral πŸ†! Welcome to our work Effort, for detecting AI-generated images (AIGIs). In this work, we propose: (1) a very very easy and effective method for ...