Publications related to Cluster sampling

On the performance of random reshuffling in stochastic learning

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

In empirical risk optimization, it has been observed that gradient descent implementations that rely on random reshuffling of the data achieve better performance than implementations that rely on sampling the data randomly and independently of each other. ...

2017

Sampling and Exact Reconstruction of Pulses with Variable Width

Martin Vetterli, Adam James Scholefield, Loïc Arnaud Baboulaz, Gilles Baechler

Recent sampling results enable the reconstruction of signals composed of streams of fixed-shaped pulses. These results have found applications in topics as varied as channel estimation, biomedical imaging and radio astronomy. However, in many real signals, ...

Institute of Electrical and Electronics Engineers2017

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

Learning-based subsampling

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Yen-Huan Li, Luca Baldassarre, Baran Gözcü

The present invention concerns a method of sampling a test signal. The method comprises: acquiring (21) training signals sampled at a plurality of sampling locations; running (23) an optimization procedure for determining an index set of n indices, represe ...

2017

Large Field of View Multi-Camera Endoscopic Apparatus with Omni-Directional Illumination

Yusuf Leblebici, Ömer Cogal

A multi-camera hemispherical very wide field of view imaging apparatus with omnidirectional illumination capability comprises a cylindrical body (4, 4.a, 4.b), a hemispherical mechanical frame (2) arranged on one end of the cylindrical body (4, 4.a, 4.b), ...

2017

Inference of genealogies with geolocalised genetic data

Natural populations present an abundant genetic variability. Like mutation or natural se- lection, dierent processes are at stake to generate this variability. Population genetics is a topic that emerged in the late 40's, thanks mainly to the biologists Fi ...

2017

Electroencephalogram (EEG) Frontal Asymmetry and Error-Related Signals Are Potential Markers of Internalizing and Externalizing Behaviors in Children: A Meta-Analysis

Michael Herzog, Ophélie Gladys Favrod

Objectives: The frontal hemispheric asymmetry and error-related components, as measured by EEG, are often considered to be biological correlates or “indicators of risk” for psychopathology. Here, we performed a meta-analysis to define specific patterns of ...

2017

Synthesis and Sintering of ZnO Nanopowders

Paul Bowen, Michael Stuer, Zhe Zhao

Nanopowders are continuously under investigation as they open new perspectives in numerous fields. There are two main challenges to stimulating their development: sufficient low-cost, high throughput synthesis methods which lead to a production with well-d ...

Mdpi Ag2017

Blowing in the Wind

Marta Martinez-Camara

Every day tons of pollutants are emitted into the atmosphere all around the world. These pollutants are altering the equilibrium of our planet, causing profound changes in its climate, increasing global temperatures, and raising the sea level. The need to ...

EPFL2017

Trust, integrated information technology and new product success

Christopher Tucci

Purpose - The purpose of this paper is to investigate the combined roles via trust relationships of the two technology cores of the firm: information technology (IT) and R& D and their impact on new product success. Design/methodology/approach - A model wa ...

Emerald2017

Cluster sampling

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On the performance of random reshuffling in stochastic learning

Sampling and Exact Reconstruction of Pulses with Variable Width

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Learning-based subsampling

Large Field of View Multi-Camera Endoscopic Apparatus with Omni-Directional Illumination

Inference of genealogies with geolocalised genetic data

Electroencephalogram (EEG) Frontal Asymmetry and Error-Related Signals Are Potential Markers of Internalizing and Externalizing Behaviors in Children: A Meta-Analysis

Synthesis and Sintering of ZnO Nanopowders

Blowing in the Wind

Trust, integrated information technology and new product success

On the performance of random reshuffling in stochastic learning

Synthesis and Sintering of ZnO Nanopowders

Inference of genealogies with geolocalised genetic data

Trust, integrated information technology and new product success

Sampling and Exact Reconstruction of Pulses with Variable Width

Blowing in the Wind

Electroencephalogram (EEG) Frontal Asymmetry and Error-Related Signals Are Potential Markers of Internalizing and Externalizing Behaviors in Children: A Meta-Analysis

Large Field of View Multi-Camera Endoscopic Apparatus with Omni-Directional Illumination

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Learning-based subsampling