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158
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ICASSP
2011
IEEE
14 years 7 months ago
A regularization framework for mobile social network analysis
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...
117
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Band-pass Reservoir Computing
— 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...
137
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
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 ...
Ondrej Hlinka, Franz Hlawatsch
118
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
154
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Cross-layer optimization of wireless fading ad-hoc networks
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...