Publications related to Survey sampling

Online Kinematic and Dynamic Parameter Estimation for Autonomous Surface and Underwater Vehicles

Alcherio Martinoli, Anwar Ahmad Quraishi

One of the main challenges in underwater robot localization is the scarcity of external positioning references. Therefore, accurate inertial localization in between external position updates is crucial for applications such as underwater environmental samp ...

2021

Raytraverse: Navigating the Lightfield to Enhance Climate-Based Daylight Modeling

Marilyne Andersen, Jan Wienold, Stephen William Wasilewski

We propose a new method for climate-based daylight modeling (CBDM) based on simulating and evaluating only the most important features. By adaptively sampling the temporal lightfield that describes daylight in buildings, our method escapes the curse of dim ...

2021

Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample

Cheng Zhao, Johan Comparat, Anand Stéphane Raichoor

This work presents the application of a new tool, Obiwan, which uses image simulations to determine the selection function of a galaxy redshift survey and calculate three-dimensional (3D) clustering statistics. Obiwan relies on a forward model of the proce ...

OXFORD UNIV PRESS2020

The role of demand in fostering product vs process innovation: a model and an empirical test

Gabriele Pellegrino

While the extant innovation literature has provided extensive evidence of the so-called "demand-pull" effect, the possible diverse impact of demand evolution on product vs process innovation activities has not been yet investigated. This paper develops a f ...

SPRINGER2020

Assessment of abundance and community composition of benthic macroinvertebrates: recommendations for improved sampling, fixation and extraction of oligochaetes

Benoît Jean Dominique Ferrari, Régis Lionel Vivien

For several decades, the abundance and community structure of benthic macroinvertebrates have been studied to assess the biological quality of aquatic ecosystems. Procedures aiming at studying the whole of macroinvertebrate communities were mainly designed ...

2020

Imaging plasma formation in isolated nanoparticles with ultrafast resonant scattering

Christoph Bostedt, Daniela Rupp, Alessandro Colombo

We have recorded the diffraction patterns from individual xenon clusters irradiated with intense extreme ultraviolet pulses to investigate the influence of light-induced electronic changes on the scattering response. The clusters were irradiated with short ...

2020

Variational Inference with Mixture Model Approximation for Applications in Robotics

Sylvain Calinon, Emmanuel Pignat, Teguh Santoso Lembono

We propose to formulate the problem of repre-senting a distribution of robot configurations (e.g. joint angles)as that of approximating a product of experts. Our approach uses variational inference, a popular method in Bayesian computation, which has sever ...

2020

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

or

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements

Rodrigo Cerqueira Gonzalez Pena

Compressed Sensing teaches us that measurements can be traded for offline computation if the signal being sensed has a simple enough representation. Proper decoders can exactly recover the high-dimensional signal of interest from a lower-dimensional vector ...

EPFL2020

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

Martin Vetterli, Adam James Scholefield, Karen Adam

Sampling is classically performed by recording the amplitude of the input at given time instants; however, sampling and reconstructing a signal using multiple devices in parallel becomes a more difficult problem to solve when the devices have an unknown sh ...

2020

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Online Kinematic and Dynamic Parameter Estimation for Autonomous Surface and Underwater Vehicles

Raytraverse: Navigating the Lightfield to Enhance Climate-Based Daylight Modeling

Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample

The role of demand in fostering product vs process innovation: a model and an empirical test

Assessment of abundance and community composition of benthic macroinvertebrates: recommendations for improved sampling, fixation and extraction of oligochaetes

Imaging plasma formation in isolated nanoparticles with ultrafast resonant scattering

Variational Inference with Mixture Model Approximation for Applications in Robotics

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

Online Kinematic and Dynamic Parameter Estimation for Autonomous Surface and Underwater Vehicles

The role of demand in fostering product vs process innovation: a model and an empirical test

Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample

Raytraverse: Navigating the Lightfield to Enhance Climate-Based Daylight Modeling

Assessment of abundance and community composition of benthic macroinvertebrates: recommendations for improved sampling, fixation and extraction of oligochaetes

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Variational Inference with Mixture Model Approximation for Applications in Robotics

On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements

Imaging plasma formation in isolated nanoparticles with ultrafast resonant scattering

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding