In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
—Hierarchical cellular networks (HCNs), in which femtocells are deployed in the coverage of a conventional macrocell, offer a cost effective solution to achieve high user capacit...
Performing random walks in networks is a fundamental primitive that has found applications in many areas of computer science, including distributed computing. In this paper, we fo...
Atish Das Sarma, Danupon Nanongkai, Gopal Panduran...
In this paper a novel high-quality reconstruction scheme is presented. Although our method is mainly proposed to reconstruct volumetric data sampled on an optimal Body-Centered Cu...
Mobile network access has seemingly become ubiquitous in industrialized countries. With data services becoming sufficiently fast, usable, and affordable, demand is growing rapidly...