Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
Manycast is a group communication primitive wherein the source is required to send data packets to a certain number of a given set of destinations. In this article, we design faul...
The emergence of Internet, Intranet, local area networks, and ad hoc wireless networks introduces a plethora of new problems in information processing. In order to overcome these p...
We present a novel surface reconstruction algorithm which can directly reconstruct surfaces with different levels of smoothness in one framework from height fields using 3D discr...
Huamin Qu, Feng Qiu, Nan Zhang 0011, Arie E. Kaufm...