Abstract: To better characterize the differences in category features in Facial Expression Recognition (FER) tasks, and improve inter-class separability and intra-class compactness, we propose a ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

Abstract: Advanced deep-learning models have shown excellent performance in the task of fault-bearing diagnosis over traditional machine learning and signal-processing techniques. Few-shot learning ...

Abstract: Direct RF sampling relieves the analog front-end design and delivers high system flexibility. In $\gt10 \mathrm{GS} / \mathrm{s}\gt10 \mathrm{~b}$ ADCs, time-interleaving (TI) is inescapable ...