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CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 10 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ENTCS
2007
97views more  ENTCS 2007»
14 years 10 months ago
Safety-Oriented Design of Component Assemblies using Safety Interfaces
This paper promotes compositional reasoning in the context of safety-critical systems, and demonstrates a safety-oriented component model using an application from the automotive ...
Jonas Elmqvist, Simin Nadjm-Tehrani
95
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ASC
2011
14 years 5 months ago
Autonomic fault-handling and refurbishment using throughput-driven assessment
A new paradigm for online EH regeneration using Genetic Algorithms (GAs) called Competitive Runtime Reconfiguration (CRR) is developed where performance is assessed based upon a b...
Ronald F. DeMara, Kening Zhang, Carthik A. Sharma
GI
1998
Springer
15 years 2 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
TSP
2010
14 years 4 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...