Kernel methods

Related publications (26)

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A Kernel Trick For Sequences Applied to Text-Independent Speaker Verification Systems

Samy Bengio

This paper present a principled SVM based speaker verification system. We propose a new framework and a new sequence kernel that can make use of any Mercer kernel at the frame level. An extension of the sequence kernel based on the Max operator is also pro ...

2007

Discrmininant Models for Text-independent Speaker Verification

This thesis addresses text-independent speaker verification from a machine learning point of view. We use the machine learning framework to better define the problem and to develop new unbiased performance measures and statistical tests to compare objectiv ...

IDIAP2006

A Kernel Trick For Sequences Applied to Text-Independent Speaker Verification Systems

Samy Bengio

IDIAP2005

Environmental spatial data classification with Support Vector Machines

The report deals with a first application of Support Vector Machines to the environmental spatial data classification. The simplest problem of classification is considered: using original data develop a model for the classification of the regions to be bel ...

IDIAP1999

Numerical Experiments with Support Vector Machines

The report presents a series of numerical experiments concerning application of Support Vector Machines for the two class spatial data classification. The main attention is paid to the variability of the results by changing hyperparameters: bandwidth of th ...

IDIAP1999

Two-dimensional RBF-ENO method on unstructured grids

Jan Sickmann Hesthaven, Fabian Mönkeberg

Essentially non-oscillatory (ENO) and weighted ENO (WENO) methods on equidistant Cartesian grids are widely used to solve partial dierential equations with discontinuous solutions. However, stable ENO/WENO methods on unstructured grids are less well studie ...