Dynamic, distributed, real-time systems control an environment that varies widely without any time-invariant statistical or deterministic characteristic, are spread across multiple...
Charles Cavanaugh, Lonnie R. Welch, Behrooz Shiraz...
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
In this paper we introduce the distributed spatio-temporal similarity search problem: given a query trajectory Q, we want to find the trajectories that follow a motion similar to ...
Demetrios Zeinalipour-Yazti, Song Lin, Dimitrios G...
Abstract. This paper presents a polynomial-time algorithm for inferring a probabilistic generalization of the class of read-once Boolean formulas over the usual basis {AND,OR,NOT}....
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...