This paper presents a robust, automated registration algorithm, which may be applied to several types of medical images, including CTs, MRIs, Xrays, Ultrasounds and dermatological ...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
This paper proposes a real-time, robust and effective tracking framework for visual servoing applications. The algorithm is based on the fusion of visual cues and on the estimatio...
A probability-one homotopy algorithm for solving nonsmooth equations is described. This algorithm is able to solve problems involving highly nonlinear equations, where the norm of ...
—To satisfy the stringent requirement of capacity enhancement in wireless networks, cooperative relaying is envisioned as one of the most effective solutions. In this paper, we s...
Bin Lin, Pin-Han Ho, Liang-Liang Xie, Xuemin (Sher...