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COMCOM
2010
276views more  COMCOM 2010»
15 years 6 months ago
Adjustable convergecast tree protocol for wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure base station receives a complete picture about the monitored area. Convergecast is an important commu...
Tzung-Shi Chen, Hua-Wen Tsai, Chih-Ping Chu
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 6 months ago
Algorithmic Thermodynamics
Algorithmic entropy can be seen as a special case of entropy as studied in statistical mechanics. This viewpoint allows us to apply many techniques developed for use in thermodyna...
John C. Baez, Mike Stay
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 6 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
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CORR
2008
Springer
234views Education» more  CORR 2008»
15 years 6 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
CSDA
2008
147views more  CSDA 2008»
15 years 6 months ago
Detection of unknown computer worms based on behavioral classification of the host
Machine learning techniques are widely used in many fields. One of the applications of machine learning in the field of the information security is classification of a computer be...
Robert Moskovitch, Yuval Elovici, Lior Rokach
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