Publications related to Polynomial kernel

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

Word pair classification during imagined speech using direct brain recordings

José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil, Stéphanie Martin

People that cannot communicate due to neurological disorders would benefit from an internal speech decoder. Here, we showed the ability to classify individual words during imagined speech from electrocorticographic signals. In a word imagery task, we used ...

Nature Publishing Group2016

Some Developments of the Cooray–Rubinstein Formula in the Time Domain

A rigorous formula representing the counterpart of the Cooray-Rubinstein expression in the time domain has recently been derived by the authors. In this paper, the formula is particularized for the cases of a unit step and a linearly rising channel-base cu ...

Institute of Electrical and Electronics Engineers2015

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

Alfredo Pasquarello, Wei Chen

We propose the use of an approximate bootstrap exchange-correlation kernel to account for vertex corrections in self-consistent GW calculations. We show that the approximate kernel gives accurate band gaps for a variety of extended systems, including simpl ...

American Physical Society2015

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

Dimitri Nestor Alice Van De Ville, Adrien Raphaël Depeursinge

We propose a texture learning approach that exploits local organizations of scales and directions. First, linear combinations of Riesz wavelets are learned using kernel support vector machines. The resulting texture signatures are modeling optimal class-wi ...

Institute of Electrical and Electronics Engineers2014

Semi-Supervised Novelty Detection using SVM entire solution path

Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud

Very often, the only reliable information available to perform change detection is the description of some unchanged regions. Since sometimes these regions do not contain all the relevant information to identify their counterpart (the changes), we consider ...

Institute of Electrical and Electronics Engineers2013

Superfluid–insulator transition in weakly interacting disordered Bose gases: a kernel polynomial approach

Vincenzo Savona, Pierre Lugan, Joseph Saliba

An iterative scheme based on the kernel polynomial method is devised for the efficient computation of the one-body density matrix of weakly interacting Bose gases within Bogoliubov theory. This scheme is used to analyze the coherence properties of disorder ...

Institute of Physics (IoP) and Deutsche Physikalische Gesellschaft2013

Automatic Mallampati Classification Using Active Appearance Models

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce, Gabriel Louis Cuendet

Difficult tracheal intubation assessment is an important research topic in anesthesia as failed intubations are important causes of mortality in anesthetic practice. The modified Mallampati score is widely used, alone or in conjunction with other criteria, ...

2012

Transfer Learning by Sharing Support Vectors

Pascal Fua, Carlos Joaquin Becker, Vitaly Henry Ablavsky

Machine Learning techniques play an increasingly vital role in the analysis of Biomedical imagery, as in all other areas of Computer Vision. However, in this specific context, they suffer from the fact that experimental conditions and protocols change ofte ...

2012

Learning Image Descriptors with the Boosting-Trick

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

In this paper we apply boosting to learn complex non-linear local visual feature representations, drawing inspiration from its successful application to visual object detection. The main goal of local feature descriptors is to distinctively repre- sent a s ...

2012

Polynomial kernel

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Word pair classification during imagined speech using direct brain recordings

Some Developments of the Cooray–Rubinstein Formula in the Time Domain

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

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

Semi-Supervised Novelty Detection using SVM entire solution path

Superfluid–insulator transition in weakly interacting disordered Bose gases: a kernel polynomial approach

Automatic Mallampati Classification Using Active Appearance Models

Transfer Learning by Sharing Support Vectors

Learning Image Descriptors with the Boosting-Trick

Word pair classification during imagined speech using direct brain recordings

Learning Image Descriptors with the Boosting-Trick

Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

Semi-Supervised Novelty Detection using SVM entire solution path

Superfluid–insulator transition in weakly interacting disordered Bose gases: a kernel polynomial approach

Automatic Mallampati Classification Using Active Appearance Models

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

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Some Developments of the Cooray–Rubinstein Formula in the Time Domain

Transfer Learning by Sharing Support Vectors