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...
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
The usage of cellular phones, PDAs, and other mobile devices has increased dramatically over the past ten years. Java is targeted to be one of the most popular execution environme...
Christoph Kerschbaumer, Gregor Wagner, Christian W...