In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
We describe a method for optimal construction of a detection cascade comprising 3D models of increasing levelof-detail (LOD). An LOD 3D model hierarchy of the target object is fir...
Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering prot...
— This paper studies an optimal planning of falling motions of a human-sized humanoid robot to reduce the damage of the robot. We developed a human-sized robot HRP-2FX which has ...
— Accurate generation of circuit specifications from test signatures is a difficult problem, since analytical expressions cannot precisely describe the nonlinear relationships ...
Byoungho Kim, Hongjoong Shin, Ji Hwan (Paul) Chun,...