1547 search results - page 220 / 310 » Randomized Variable Elimination |
137
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TIT
2010
14 years 7 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
137
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
107
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CISS
2010
IEEE
14 years 4 months ago
2010
IEEE
Abstract—The theoretical analysis of randomized compressive operators often relies on the existence of a concentration of measure inequality for the operator of interest. Though ...
140
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ALT
2011
Springer
14 years 20 days ago
2011
Springer
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
233
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ICDE
2007
IEEE
16 years 2 months ago
2007
IEEE
In many distributed environments, the primary function of monitoring software is to detect anomalies, that is, instances when system behavior deviates substantially from the norm....