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 ...
πThe 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 ...
πππ Our paper has been accepted by ICML 2025 Oral π! 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 ...
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