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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

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
We study sparsification of convolutional neural networks (CNN) by a relaxed variable splitting method of $\ell_0$ and transformed… 
2016
2016
Background modeling is an important technique for video analysis. Robust principal component analysis (RPCA) assisted with motion… 
2016
2016
The clinical utility of multi-dimensional MRI applications like multi-parameter mapping and 3D dynamic lung imaging is limited by… 
2015
2015
Model-based image reconstruction (MBIR) methods for X-ray CT reconstruction can improve image quality and reduce patient X-ray… 
2013
2013
Splitting-based CT reconstruction algorithms decompose the reconstruction problem into a iterated sequence of “easier… 
2008
2008
Der Einsatz mikrostrukturierter optischer Elemente ist in der heutigen quantenoptischen Forschung ein auserst attraktiver Zugang… 
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
The relationship between the solubility parameter, x, in the solid solutions Nd I +xBa2_xCU306.5 + x / 2 + ~ (NdI23SS) and XRD… 
1977
1977
: Subclasses of the G-paraproteins were examined by the method of tryptic splitting of the sera. The fragments were identified in…