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» Bayesian Information Extraction Network
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ICASSP
2011
IEEE
14 years 7 months ago
Distributed blind source separation with an application to audio signals
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusio...
Yusuke Hioka, W. Bastiaan Kleijn
222
Voted
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
16 years 4 months ago
Efficient Query Subscription Processing in a Multicast Environment
Abstract Arturo Crespo, Orkut Buyukkokten, and Hector Garcia-Molina Stanford University With information dissemination (information push), data is delivered from a set of producers...
Arturo Crespo, Orkut Buyukkokten, Hector Garcia-Mo...
122
Voted
JCDL
2009
ACM
134views Education» more  JCDL 2009»
15 years 10 months ago
What happens when facebook is gone?
Web users are spending more of their time and creative energies within online social networking systems. While many of these networks allow users to export their personal data or ...
Frank McCown, Michael L. Nelson
TWC
2008
172views more  TWC 2008»
15 years 3 months ago
A Software-Defined Radio System for Backscatter Sensor Networks
Backscatter radio is proposed for sensor networks. In that way, the transmitter for each sensor is simplified to a transistor connected to an antenna and therefore, the cost for ea...
Giovanni Vannucci, Aggelos Bletsas, Darren Leigh
136
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JMLR
2010
145views more  JMLR 2010»
14 years 10 months ago
Event based text mining for integrated network construction
The scientific literature is a rich and challenging data source for research in systems biology, providing numerous interactions between biological entities. Text mining technique...
Yvan Saeys, Sofie Van Landeghem, Yves Van de Peer