Publications associées à Radial basis function kernel

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Radial basis function kernel

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Entropy Stable Essentially Nonoscillatory Methods Based On Rbf Reconstruction

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Entropy stable essentially non-oscillatory methods based on RBF reconstructions

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses

A Sampling Theory for Non-Decaying Signals

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Accurate band gaps of extended systems via efficient vertex corrections in GW

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Laplacian Support Vector Analysis for Subspace Discriminative Learning

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

Sampling and Reconstruction of Shapes with Algebraic Boundaries

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses

Laplacian Support Vector Analysis for Subspace Discriminative Learning

Accurate band gaps of extended systems via efficient vertex corrections in GW

Entropy stable essentially non-oscillatory methods based on RBF reconstructions

Entropy Stable Essentially Nonoscillatory Methods Based On Rbf Reconstruction

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

A Sampling Theory for Non-Decaying Signals