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Variable splitting

In applied mathematics and computer science, variable splitting is a decomposition method that relaxes a set of constraints.
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Papers overview

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2019
2019
We study sparsification of convolutional neural networks (CNN) by a relaxed variable splitting method of $\ell_0$ and transformed… 
2015
2015
Model-based image reconstruction (MBIR) methods for X-ray CT reconstruction can improve image quality and reduce patient X-ray… 
2015
2015
Many real-life datasets exhibit structure in the form of physically meaningful clusters - e.g., news documents can be categorized… 
2012
2012
While SAT-based algorithms have largely displaced BDD-based verification techniques due to their typically higher scalability… 
2008
2008
Der Einsatz mikrostrukturierter optischer Elemente ist in der heutigen quantenoptischen Forschung ein auserst attraktiver Zugang… 
2007
2007
Variable splitting is a technique applicable to free variable tableaux, sequent calculi, and matrix characterizations that… 
2004
2004
  • R. Antonsen
  • 2004
  • Corpus ID: 2995255
This extended abstract motivates and presents techniques for identifying variable independence in free variable calculi for… 
2003
2003
A system with variable splitting is introduced for a sequent calculus with free variables and run-time Skolemization. Derivations…