The search for unknown frequent pattern is one of the core activities in many time series data mining processes. In this paper we present an extension of the pattern discovery pro...
Due to more and more mobile computers moving among smart and communicating devices in our everyday life, we observe the emergence of new constraints in software design. Indeed, de...
Nicolas Bussiere, Daniel Cheung-Foo-Wo, Vincent Ho...
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
Online target tracking requires to solve two problems: data association and online dynamic estimation. Usually, association effectiveness is based on prior information and observa...
Robust video streaming over time-varying, error-prone wireless LANs (WLANs) poses many challenges. In this paper, we present a Time-based Opportunistic Relay (TOR) scheme for high...