Publications associées à Cluster sampling

The present work addresses the question how sampling algorithms for commonly applied copula models can be adapted to account for quasi-random numbers. Besides sampling methods such as the conditional distribution method (based on a one-to-one transformatio ...

Springer2017

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

Rodrigo de Campos Perin

The structure in cortical microcircuits deviates from what would be expected in a purely random network, which has been seen as evidence of clustering. To address this issue, we sought to reproduce the nonrandom features of cortical circuits by considering ...

Soc Neuroscience2017

Microfluidic Platform for Seawater Desalination by Coulometric Removal of Chloride Ions through Printed Ag Electrodes

Herbert Shea, Marianna Fighera, Peter Van der Wal

This paper reports on the electrochemical characterization and comparison of printable silver inks for the fabrication of planar electrodes to integrate in a microfluidic platform for in situ desalination of seawater prior to detection of nutrients in mari ...

Electrochemical Soc Inc2017

Microsphere-based super-resolution scanning optical microscope

Martinus Gijs, Hui Yang, Gergely Huszka

High-refractive index dielectric microspheres positioned within the field of view of a microscope objective in a dielectric medium can focus the light into a so-called photonic nanojet. A sample placed in such nanojet can be imaged by the objective with su ...

Optical Soc Amer2017

CAMEA—A novel multiplexing analyzer for neutron spectroscopy

Henrik Moodysson Rønnow, Christian Rüegg, Felix Groitl

The analyzerdetector system continuous angle multiple energy analysis will be installed on the cold-neutron triple-axis spectrometer RITA-2 at SINQ, PSI. CAMEA is optimized for efficiency in the horizontal scattering plane enabling rapid and detailed mappi ...

American Institute of Physics2016

Compressive Spectral Clustering

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

Spectral clustering has become a popular technique due to its high performance in many contexts. It comprises three main steps: create a similarity graph between N objects to cluster, compute the first k eigenvectors of its Laplacian matrix to define a fea ...

2016

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Serge Vaudenay, Pouyan Sepehrdad, Petr Susil

The best way of selecting samples in algebraic attacks against block ciphers is not well explored and understood. We introduce a simple strategy for selecting the plaintexts and demonstrate its strength by breaking reduced-round KATAN, LBLOCK and SIMON. Fo ...

Springer Verlag2016

Stochastic gradient descent with finite samples sizes

Ali H. Sayed, Stefan Vlaski, Bicheng Ying, Kun Yuan

The minimization of empirical risks over finite sample sizes is an important problem in large-scale machine learning. A variety of algorithms has been proposed in the literature to alleviate the computational burden per iteration at the expense of converge ...

IEEE2016

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Cluster sampling

Towards Real-Time High-Resolution Interferometric Imaging with Bluebild

Quasi-random numbers for copula models

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

Microfluidic Platform for Seawater Desalination by Coulometric Removal of Chloride Ions through Printed Ag Electrodes

Microsphere-based super-resolution scanning optical microscope

Effect of a halogen-based precursor on dopant incorporation in 3C-SiC film epitaxy

CAMEA—A novel multiplexing analyzer for neutron spectroscopy

Compressive Spectral Clustering

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Stochastic gradient descent with finite samples sizes

Graph Chatbot

Chattez avec Graph Search

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

CAMEA—A novel multiplexing analyzer for neutron spectroscopy

Towards Real-Time High-Resolution Interferometric Imaging with Bluebild

Microfluidic Platform for Seawater Desalination by Coulometric Removal of Chloride Ions through Printed Ag Electrodes

Microsphere-based super-resolution scanning optical microscope

Stochastic gradient descent with finite samples sizes

Effect of a halogen-based precursor on dopant incorporation in 3C-SiC film epitaxy

Quasi-random numbers for copula models

Compressive Spectral Clustering

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations