Adaptive sensitivity-fisher regularization for heterogeneous transfer learning of vascular segmentation in laparoscopic videos [0.03%]
自适应敏感性-Fisher正则化在腹腔镜视频血管分割中的异构迁移学习中的应用
Xinkai Zhao,Yuichiro Hayashi,Masahiro Oda et al.
Xinkai Zhao et al.
Purpose: This study aims to enhance surgical safety by developing a method for vascular segmentation in laparoscopic surgery videos with limited visibility. We introduce an adaptive sensitivity-fisher regularization (ASFR...
A novel heterogeneous transfer learning method based on data stitching for the sequential coding brain computer interface [0.03%]
一种基于数据拼接的序列编码脑机接口异质迁移学习新方法
Qianqian Zhan,Li Wang,Lingling Ren et al.
Qianqian Zhan et al.
Objective: For the brain computer interface (BCI), it is necessary to collect enough electroencephalography (EEG) signals to train the classification model. When the operation dimension of BCI is large, it will bring grea...
Heterogeneous Transfer Learning for Wi-Fi Indoor Positioning Based Hybrid Feature Selection [0.03%]
基于混合特征选择的Wi-Fi室内定位异构迁移学习方法研究
Hailu Tesfay Gidey,Xiansheng Guo,Lin Li et al.
Hailu Tesfay Gidey et al.
This paper presents the application of heterogeneous transfer learning (HetTL) methods which consider hybrid feature selection to reduce the training calibration effort and the noise generated by fingerprint duplicates obtained from multipl...