Sensor networks are widely used in many applications for collecting information from the physical environment. In these applications, it is usually necessary to track the relation...
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Advances in sensor networking and location tracking technology enable location-based applications but they also create significant privacy risks. Privacy is typically addressed t...
Marco Gruteser, Graham Schelle, Ashish Jain, Richa...
Distributed cognition of dynamic processes is commonly observed in mobile groups of animates like schools of fish, hunting lions, or in human teams for sports or military maneuvers...