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TSP
2010
13 years 4 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
TWC
2010
13 years 4 months ago
Distributed consensus-based demodulation: algorithms and error analysis
This paper deals with distributed demodulation of space-time transmissions of a common message from a multiantenna access point (AP) to a wireless sensor network. Based on local me...
Hao Zhu, Alfonso Cano, Georgios B. Giannakis
TWC
2010
13 years 4 months ago
Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks
Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently in wireless communication applications, such as cellular handset lo...
Kun Yan, Hsiao-Chun Wu, S. Sitharama Iyengar
CORR
2011
Springer
143views Education» more  CORR 2011»
13 years 1 months ago
Non-malleable extractors via character sums
In studying how to communicate over a public channel with an active adversary, Dodis and Wichs introduced the notion of a non-malleable extractor. A non-malleable extractor dramat...
Trevor D. Wooley, David Zuckerman
CORR
2011
Springer
136views Education» more  CORR 2011»
13 years 1 months ago
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., sco...
Craig Boutilier