Nonlocal Lagrangian

Known as: Nonlocal 
In field theory, a nonlocal Lagrangian is a Lagrangian, a type of functional which contains terms which are nonlocal in the fields i.e. which are not… (More)
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Papers overview

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Review
2015
Review
2015
Halos are biased tracers of the dark matter distribution. It is often assumed that the initial patches from which halos formed… (More)
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Highly Cited
2014
Highly Cited
2014
As a powerful and promising statistical signal modeling technique, sparse representation has been widely used in various image… (More)
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Highly Cited
2014
Highly Cited
2014
Sparse representation has been widely used in image classification. Sparsity-based algorithms are, however, known to be time… (More)
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2014
2014
Total variation has proved its effectiveness in solving inverse problems for compressive sensing. Besides, the nonlocal means… (More)
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Highly Cited
2013
Highly Cited
2013
Sparse representation is proven to be a promising approach to image super-resolution, where the low-resolution (LR) image is… (More)
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Highly Cited
2010
Highly Cited
2010
We propose two algorithms based on Bregman iteration and operator splitting technique for nonlocal TV regularization problems… (More)
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Highly Cited
2010
Highly Cited
2010
The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical… (More)
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Highly Cited
2008
Highly Cited
2008
We propose the use of nonlocal operators to define new types of flows and functionals for image processing and elsewhere. A main… (More)
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Highly Cited
2008
Highly Cited
2008
We introduce a nonlocal discrete regularization framework on weighted graphs of the arbitrary topologies for image and manifold… (More)
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Highly Cited
2008
Highly Cited
2008
Abstract We present two new hybrid meta exchange-correlation functionals, called M06 and M06-2X. The M06 functional is… (More)
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