This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
This paper considers the problem of shape-from-shading using nearby planar distributed illuminants. It is shown that a rectangular planar nearby distributed uniform isotropic illu...
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
We consider an inventory distribution system consisting of one warehouse and multiple retailers. The retailers face random demand and are supplied by the warehouse. The warehouse ...
Abstract— The design of efficient and scalable streaming Content Distribution Networks (CDNs) is an open problem of great economic interest. A key decision is the number of repl...
Sandjai Bhulai, Robert D. van der Mei, Mengxiao Wu