The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
—In this demonstration paper, we present a powerful distributed framework for finding similar trajectories in a smartphone network, without disclosing the traces of participatin...
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
ions for Network Update Mark Reitblatt Cornell Nate Foster Cornell Jennifer Rexford Princeton Cole Schlesinger Princeton David Walker Princeton Configuration changes are a common...
Mark Reitblatt, Nate Foster, Jennifer Rexford, Col...
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...