Publications associées à Filtre de Gauss

Pollution mask for the continuous corrected particle number concentration data in 1 min time resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot

This dataset contains particle number concentrations and a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA, doi:10.5281/zenodo.5761101) based on the corrected particle number concentration data of the CPC377 ...

EPFL Infoscience2023

A new variable shape parameter strategy for RBF approximation using neural networks

Jan Sickmann Hesthaven

The choice of the shape parameter highly effects the behaviour of radial basis function (RBF) approximations, as it needs to be selected to balance between the ill-conditioning of the interpolation matrix and high accuracy. In this paper, we demonstrate ho ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Daniel Kuhn, Mengmeng Li, Tobias Sutter

We propose a policy gradient algorithm for robust infinite-horizon Markov Decision Processes (MDPs) with non-rectangular uncertainty sets, thereby addressing an open challenge in the robust MDP literature. Indeed, uncertainty sets that display statistical ...

2023

Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot

This dataset contains a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA) based on the corrected particle number concentration data (DOI upcoming) measured during the year long MOSAiC expedition from October ...

EPFL Infoscience2022

Pollution Detection Algorithm (PDA)

Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot

The Pollution Detection Algorithm (PDA) is an algorithm to identify and flag periods of primary polluted data in remote atmospheric time series in five steps. The first and most important step identifies polluted periods based on the gradient (time-derivat ...

EPFL Infoscience2021

Common Information Components Analysis

Michael Christoph Gastpar, Erixhen Sula

Wyner's common information is a measure that quantifies and assesses the commonality between two random variables. Based on this, we introduce a novel two-step procedure to construct features from data, referred to as Common Information Components Analysis ...

MDPI2021

Theoretical minimum uncertainty of single-molecule localizations using a single-photon avalanche diode array

Edoardo Charbon, Claudio Bruschini, Paul Mos, Arin Can Ülkü, Daniel Fan

Single-photon avalanche diode (SPAD) arrays can be used for single-molecule localization microscopy (SMLM) because of their high frame rate and lack of readout noise. SPAD arrays have a binary frame output, which means photon arrivals should be described a ...

OPTICAL SOC AMER2021

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski

The benefits and limitations inherent to the 2D post-processing of measurements from Brillouin optical time-domain analyzers are investigated from a fundamental point of view. In a preliminary step, the impact of curve fitting on the precision of the estim ...

2020

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Mikhail Kapralov, Amir Zandieh, Navid Nouri

Random binning features, introduced in the seminal paper of Rahimi and Recht '07, are an efficient method for approximating a kernel matrix using locality sensitive hashing. Random binning features provide a very simple and efficient way to approximate the ...

ADDISON-WESLEY PUBL CO2020

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Filtre de Gauss

Pollution mask for the continuous corrected particle number concentration data in 1 min time resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

A new variable shape parameter strategy for RBF approximation using neural networks

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Pollution Detection Algorithm (PDA)

Common Information Components Analysis

Theoretical minimum uncertainty of single-molecule localizations using a single-photon avalanche diode array

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Fourier Sampling in Signal Processing and Numerical Linear Algebra

Graph Chatbot

Chattez avec Graph Search

A new variable shape parameter strategy for RBF approximation using neural networks

Pollution mask for the continuous corrected particle number concentration data in 1 min time resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Fourier Sampling in Signal Processing and Numerical Linear Algebra

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Pollution Detection Algorithm (PDA)

Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Common Information Components Analysis

Theoretical minimum uncertainty of single-molecule localizations using a single-photon avalanche diode array