no code implementations • 26 Mar 2023 • Huiru Wang, Xiuhong Li, Zenyu Ren, Dan Yang, chunming Ma
To remove redundant information and make the network pay more attention to the correlation between image and text features, CNN and CBAM attention are added after splicing text features and picture features, to improve the feature representation ability.
no code implementations • 22 Mar 2023 • Zeyu Ren, Nurmement Yolwas, Huiru Wang, Wushour Slamu
The results show that the WER of the proposed feature fusion network based on LSPC is improved by 0. 82% and 1. 94% again compared with the single feature (Fbank feature and Spectrogram feature) extraction using LSPC.
no code implementations • 27 Jan 2022 • Ruxin Xu, Huiru Wang
Multi-view learning (MVL) is a newly developing direction of machine learning, which focuses on learning acquiring information from the data indicated by multiple feature sets.
no code implementations • 28 Feb 2020 • Zichu Liu, Qing Zhang, Pei Wang, Zhen Li, Huiru Wang
A classification method was proposed to classify the leaves and stems of potted plants automatically based on the point cloud data of the plants, which is a nondestructive acquisition.