Publications associées à Enhanced change detection using nonlinear feature extraction

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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

Enhanced change detection using nonlinear feature extraction

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Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

3D-Printed Beam Splitter for Polar Neutral Molecules

Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation

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

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Laplacian Support Vector Analysis for Subspace Discriminative Learning

Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection

Supervised change detection in VHR images using contextual information and support vector machines

Sparse Binary Features for Image Classification

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

3D-Printed Beam Splitter for Polar Neutral Molecules

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation

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

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Laplacian Support Vector Analysis for Subspace Discriminative Learning

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection

Supervised change detection in VHR images using contextual information and support vector machines

Sparse Binary Features for Image Classification