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TSP
2008
101views more  TSP 2008»
13 years 6 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
JOT
2002
105views more  JOT 2002»
13 years 6 months ago
Java Distributed Separate Objects
Java supports distributed programming using threads and Remote Method Invocation (JRMI). However, a Java thread does not match well with the object concept, and JRMI cannot easily...
Miguel Katrib, Iskander Sierra, Mario del Valle, T...
IJAMC
2010
134views more  IJAMC 2010»
13 years 5 months ago
HyperVerse: simulation and testbed reconciled
—When dealing with dynamic large-scale topologies such as those underlying peer-to-peer (P2P) distributed virtual environments (DVE), one inescapably reaches the point where eith...
Jean Botev, Markus Esch, Hermann Schloss, Ingo Sch...
SIAMCOMP
2011
13 years 1 months ago
The Complexity of Early Deciding Set Agreement
Set agreement, where processors decisions constitute a set of outputs, is notoriously harder to analyze than consensus where the decisions are restricted to a single output. This ...
Eli Gafni, Rachid Guerraoui, Bastian Pochon
TSP
2010
13 years 1 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...