Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Future deep sub-micron technologies will be characterized by large parametric variations, which could make asynchronous design an attractive solution for use on large scale. Howev...
This paper presents an applicable model for complex multiattribute negotiations between autonomous agents. The model adopts a novel protocol which decomposes the original n-dimens...
In this paper we present a method for determining optimal routes along selected paths in a wireless mesh network based on an interference aware delay analysis. We develop an analyt...
Abstract— We consider the task of planning smooth trajectories for robot motion. In this paper we make two contributions. First we present a method for cubic spline optimization;...