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Separation kernel

A separation kernel is a type of security kernel used to simulate a distributed environment. The concept was introduced by John Rushby in a 1981… Expand
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Papers overview

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Highly Cited
2015
Highly Cited
2015
In this paper, we present Deep Graph Kernels, a unified framework to learn latent representations of sub-structures for graphs… Expand
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Highly Cited
2012
Highly Cited
2012
Longer wavelength synthetic aperture radars (SARs) are precious in the remote sensing of forested areas, being sensitive to… Expand
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Highly Cited
2011
Highly Cited
2011
In the present paper we introduce soft topological spaces which are defined over an initial universe with a fixed set of… Expand
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Highly Cited
2009
Highly Cited
2009
We derive an improved prescription for the merging of matrix elements with parton showers, extending the CKKW approach. A flavour… Expand
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Highly Cited
2008
Highly Cited
2008
Direct numerical simulations (DNS) of laminar separation bubbles on a NACA-0012 airfoil at Re-c = 5 x 10(4) and incidence 5… Expand
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Highly Cited
2001
Highly Cited
2001
  • M. Genton
  • J. Mach. Learn. Res.
  • 2001
  • Corpus ID: 16552240
In this paper, we present classes of kernels for machine learning from a statistics perspective. Indeed, kernels are positive… Expand
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Highly Cited
2000
Highly Cited
2000
Direct numerical simulation of the incompressible Navier–Stokes equations is used to study flows where laminar boundary-layer… Expand
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Highly Cited
1998
Highly Cited
1998
In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by… Expand
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Highly Cited
1998
Highly Cited
1998
We have developed a method for the linear reconstruction of an image from undersampled, dithered data. The algorithm, known as… Expand
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Highly Cited
1992
Highly Cited
1992
CKA~K growth initiation and subsequent resistance is computed for an elastic-plastic solid with an idealized traction separation… Expand
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