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145
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ICASSP
2011
IEEE
14 years 7 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
134
Voted
PRL
2006
117views more  PRL 2006»
15 years 3 months ago
Feature selection in robust clustering based on Laplace mixture
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Aurélien Cord, Christophe Ambroise, Jean Pi...
DILS
2008
Springer
15 years 5 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
127
Voted
PIMRC
2008
IEEE
15 years 10 months ago
Downlink overhead reduction for Multi-Cell Cooperative Processing enabled wireless networks
—Multi-cell Cooperative Processing (MCP) has been recognised as an efficient technique for increasing spectral efficiency of future cellular systems. However the provided bene...
Agisilaos Papadogiannis, Hans Jørgen Bang, ...
150
Voted
APWEB
2010
Springer
15 years 6 months ago
Multiple Continuous Queries Optimization for Processing RFID Streaming Data
This paper investigates the problem of processing multiple continuous queries over RFID streaming data in RFID middleware. RFID middleware collects and filters RFID sensing data wh...
Haipeng Zhang, Wooseok Ryu, Yongxu Piao, Bonghee H...