Publications related to Kernel (category theory)

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Modern data-center network operating systems rely on proprietary user-space daemons wrapping SDKs from switch vendors. Linux-based variants of these operating systems have benefited from increasing and simplified dataplane offloading support in recent year ...

2018

A kernel compression scheme for fractional differential equations

Jan Sickmann Hesthaven, Daniel Henri Baffet

The nonlocal nature of the fractional integral makes the numerical treatment of fractional dierential equations expensive in terms of computational eort and memory requirements. In this paper we propose a method to reduce these costs while controlling the ...

Society for Industrial and Applied Mathematics2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Sylvain Calinon, Noémie Laure Gwendoline Jaquier

Simultaneous and proportional control of a prosthetic hand and wrist is still a controversial issue, although giant steps have lately been made in this direction. In this paper, we study the application of a novel machine learning method to the problem, wi ...

2017

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

In this paper, a new formulation in the time domain of the Cooray-Rubinstein expression is presented. This new formulation overcomes the problems related to the previous formulation: The Dirac pulse contained in the kernel of the previous formulation is ex ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Michaël Unser, Daniel Andreas Schmitter, Ricard Delgado Gonzalo

We present a new trigonometric basis function that is capable of perfectly reproducing circles, spheres and ellipsoids while at the same time being interpolatory. Such basis functions have the advantage that they allow to construct shapes through a sequenc ...

IEEE2015

Subspace properties of network coding and their applications

Christina Fragouli, Suhas Diggavi, Mahdi Jafari Siavoshani

Systems that employ network coding for content distribution convey to the receivers linear combinations of the source packets. If we assume randomized network coding, during this process the network nodes collect random subspaces of the space spanned by th ...

2012

Enhanced change detection using nonlinear feature extraction

Devis Tuia, Giona Matasci

This paper presents an application of the kernel principal component analysis aiming at aligning optical images before the application of change detection techniques. The approach relies on the extraction of nonlinear features from a selected subset of pix ...

2012

Homotopic Descent over Monoidal Model Categories

The starting point for this project is the article of Kathryn Hess [11]. In this article, a homotopic version of monadic descent is developed. In the classical setting, one constructs a category D(𝕋) of coalgebras in the Eilenberg-Moore category of ...

EPFL2011

Composite Kernel Learning

The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Multiple Kernel Learning (MKL) enables to learn the kernel, from an ensemble of ...

Omnipress2008

Kernel (category theory)

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Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

A kernel compression scheme for fractional differential equations

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Subspace properties of network coding and their applications

Enhanced change detection using nonlinear feature extraction

Homotopic Descent over Monoidal Model Categories

Composite Kernel Learning

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

A kernel compression scheme for fractional differential equations

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Subspace properties of network coding and their applications

Enhanced change detection using nonlinear feature extraction

Composite Kernel Learning

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Homotopic Descent over Monoidal Model Categories