This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
This paper proposes a unified efficient and universal scalable video coding framework that supports different scalabilities, such as fine granularity quality, temporal, spatial an...
Feng Wu, Shipeng Li, Rong Yan, Xiaoyan Sun, Ya-Qin...
Transactional Memory (TM) provides mechanisms that promise to simplify parallel programming by eliminating the need for locks and their associated problems (deadlock, livelock, pr...
Hassan Chafi, Jared Casper, Brian D. Carlstrom, Au...
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Abstract. A fundamental problem of future networks is to get fully selforganized routing protocols with good scalability properties that produce good paths in a wide range of netwo...