1 code implementation • 13 May 2024 • Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
In this paper, we propose a new framework that effectively leverages supervision information to complete missing data in a manner conducive to classification.
no code implementations • 22 Feb 2023 • Zai Yang, Kaijie Wang
Direction augmentation (DA) and spatial smoothing (SS), followed by a subspace method such as ESPRIT or MUSIC, are two simple and successful approaches that enable localization of more uncorrelated sources than sensors with a proper sparse array.
no code implementations • 7 Oct 2019 • Jiaxuan Xie, Fanghui Liu, Kaijie Wang, Xiaolin Huang
On small datasets (less than 1000 samples), for which deep learning is generally not suitable due to overfitting, our method achieves superior performance compared to advanced kernel methods.