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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

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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