355 citations · 1.5k across the 25 of their papers we have counts for
4 papers · 1 filter
Robust Learning with Kernel Mean p-Power Error Loss
Badong Chen, Lei Xing, Xin Wang +2
Correntropy is a second order statistical measure in kernel space, which has been successfully applied in robust learning and signal processing. In this paper, we define a nonsecon…
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
Xin Yang, Lequan Yu, Lingyun Wu +4
Boundary incompleteness raises great challenges to automatic prostate segmentation in ultrasound images. Shape prior can provide strong guidance in estimating the missing boundary,…
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Qi Dou, Hao Chen, Yueming Jin +3
Automatic liver segmentation from CT volumes is a crucial prerequisite yet challenging task for computer-aided hepatic disease diagnosis and treatment. In this paper, we present a…
Group sparse optimization via regularization
Yaohua Hu, Chong Li, Kaiwen Meng +2
In this paper, we investigate a group sparse optimization problem via regularization in three aspects: theory, algorithm and application. In the theoretical aspect, by…