Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Abstract. This paper shows how systems can be built from their component parts with specified sharing. Its principle contribution is a modular language for configuring systems. A c...
The modeling and control flexible-manufacturing workcells (FMCs) has generally been performed in a hierarchical structure, where at the highest level they have been modeled as dis...
We introduce a framework for advanced behavioral animation in virtual humans, which addresses the challenging open problem of simulating social interactions between pedestrians in...