Publications related to Monte Carlo calibration of avalanches described as Coulomb fluid flows

Global eigenvalue distribution of matrices defined by the skew-shift

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift

\binom{j}{2} \omega+jy+x \mod 1

for irrational

\omega

. We prove that the eigenvalue distribution of these matrices conv ...

2019

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Pascal Fua, Mathieu Salzmann, Jan Bednarík

Recent years have seen the development of mature solutions for reconstructing deformable surfaces from a single image, provided that they are relatively well-textured. By contrast, recovering the 3D shape of texture-less surfaces remains an open problem, a ...

IEEE2018

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Pascal Fua, Mathieu Salzmann, Jan Bednarík

Recent years have seen the development of mature solutions for reconstructing deformable surfaces from a single image, provided that they are relatively well-textured. By contrast, recovering the 3D shape of texture-less surfaces remains an open problem, a ...

2018

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

David Atienza Alonso, Leila Cammoun, Fabio Isidoro Tiberio Dell'Agnola

The use of drones is recently gaining particular interest in the field of search and rescue. However, particular skills are still required to actively operate in a mission without crashing the drone. This limits their effective and efficient employment in ...

IEEE2018

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Kshitij Sharma, Valérie Chavez

The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in Statistics, called the Extreme Value Theory (EVT). EVT claims that th ...

2017

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

David Atienza Alonso, Leila Cammoun, Fabio Isidoro Tiberio Dell'Agnola

The use of drones is recently gaining particular interest in the field of search and rescue. However, particular skills are still required to actively operate in a mission without crashing the drone. This limits their effective and efficient employment in ...

2017

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak

The currently adopted practice for uncertainty quantification of thermal-hydraulics code predictions is done through statistical sampling where the code is evaluated multiple times using different values of input parameters that are randomly generated acco ...

2016

A characterization of the normal distribution using stationary max-stable processes

Sebastian Engelke

Consider a max-stable process of the form , , where are points of the Poisson process with intensity u (-2)du on (0,a), X (i) , , are independent copies of a random d-variate vector X (that are independent of the Poisson process), and is a function. We sho ...

Springer Verlag2016

Generalized Gauss Inequalities via Semidefinite Programming

Daniel Kuhn

A sharp upper bound on the probability of a random vector falling outside a polytope, based solely on the first and second moments of its distribution, can be computed efficiently using semidefinite programming. However, this Chebyshev-type bound tends to ...

Springer Verlag2016

The major upgrade of the MAGIC telescopes, Part II: A performance study using observations of the Crab Nebula

MAGIC is a system of two Imaging Atmospheric Cherenkov Telescopes located in the Canary island of La Palma, Spain. During summer 2011 and 2012 it underwent a series of upgrades, involving the exchange of the MAGIC-I camera and its trigger system, as well a ...

Elsevier Science Bv2016

Monte Carlo calibration of avalanches described as Coulomb fluid flows

Graph Chatbot

Chat with Graph Search

Global eigenvalue distribution of matrices defined by the skew-shift

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

A characterization of the normal distribution using stationary max-stable processes

Generalized Gauss Inequalities via Semidefinite Programming

The major upgrade of the MAGIC telescopes, Part II: A performance study using observations of the Crab Nebula

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Global eigenvalue distribution of matrices defined by the skew-shift

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

A characterization of the normal distribution using stationary max-stable processes

Generalized Gauss Inequalities via Semidefinite Programming

The major upgrade of the MAGIC telescopes, Part II: A performance study using observations of the Crab Nebula