Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and f...
Xiaowen Dong, Pascal Frossard, Pierre Vandergheyns...
— Many applications of Reservoir Computing (and other signal processing techniques) have to deal with information processing of signals with multiple time-scales. Classical Reser...
Francis Wyffels, Benjamin Schrauwen, David Verstra...
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
This paper introduces an algorithm to approximately find optimal wireless networks in presence of fading. Joint optimization of application level rates, routes, link capacities, ...
Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Gi...