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Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Publications associées (259)

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Multilevel weighted least squares polynomial approximation

Fabio Nobile

Weighted least squares polynomial approximation uses random samples to determine projections of functions onto spaces of polynomials. It has been shown that, using an optimal distribution of sample locations, the number of samples required to achieve quasi ...

2017

Associations between Daily Walking and Subclinical Health Markers in a Swiss City

Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Idris Guessous, Derek Pierre Christie

Every year, the Health Bus (Bus Santé) enables a representative sample of around 1000 members of the non-institutionalised adult population of Geneva, Switzerland, to undergo a health evaluation including physical measurements, blood tests and questionnair ...

2017

Object Detection with Active Sample Harvesting

Olivier Canévet

The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...

EPFL2017

Object Detection with Active Sample Harvesting

Olivier Canévet

École Polytechnique Fédérale de Lausanne2017

Approximate maximum likelihood estimation for population genetic inference

Gregory Bruce Ewing

In many population genetic problems, parameter estimation is obstructed by an intractable likelihood function. Therefore, approximate estimation methods have been developed, and with growing computational power, sampling-based methods became popular. Howev ...

De Gruyter2017

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Fabio Nobile

MATHICSE2017

Quasi-random numbers for copula models

Mathieu Jacques David Cambou

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

Just Sort It! A Simple and Effective Approach to Active Preference Learning

Matthias Grossglauser, Lucas Maystre

We address the problem of learning a ranking by using adaptively chosen pairwise comparisons. Our goal is to recover the ranking accurately but to sample the comparisons sparingly. If all comparison outcomes are consistent with the ranking, the optimal sol ...

2017

Device for high- throughput sample slicing and characterization

Philippe Renaud, Robert Meissner

The invention relates to devices and systems for use in the slicing, separation and possible disposal of slices of a sample, such as a bodily tissue sample. The invention relates to a multi-blade chopper and a guide track comprising knobs along its surface ...

2017

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

In vitro estrogen receptor transactivation assays (ERTAs) are increasingly used to measure the overall estrogenic activity of environmental water samples, which may serve as an indicator of exposure of fish or other aquatic organisms to (xeno)estrogens. An ...

Pergamon-Elsevier Science Ltd2017