2 papers
cs.CV2025
CLUENet: Cluster Attention Makes Neural Networks Have Eyes
Xiangshuai Song, Jun-Jie Huang, Tianrui Liu +2
Despite the success of convolution- and attention-based models in vision tasks, their rigid receptive fields and complex architectures limit their ability to model irregular spatia…
cs.LG2025
Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
Yixi Chen, Weixuan Liang, Tianrui Liu +4
Kernel power -means (KPKM) leverages a family of means to mitigate local minima issues in kernel -means. However, KPKM faces two key limitations: (1) the computational burden…