Publications associées à Courbe brachistochrone

Probing the buckling of pressurized spherical shells

Pedro Miguel Nunes Pereira de Almeida Reis, Dong Yan, Arefeh Abbasi

The prediction of the critical buckling conditions of shell structures is plagued by imperfection sensitivity. Non-destructive testing through point-load probing has been recently proposed to map the stability landscape of cylindrical shells. However, the ...

2021

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Volkan Cevher, Paul Thierry Yves Rolland, Ali Kavis

We study the fundamental problem of learning an unknown, smooth probability function via pointwise Bernoulli tests. We provide a scalable algorithm for efficiently solving this problem with rigorous guarantees. In particular, we prove the convergence rate ...

2019

Accelerated path integral methods for atomistic simulations at ultra-low temperatures

Michele Ceriotti, Felix Uhl

Path integral methods provide a rigorous and systematically convergent framework to include the quantum mechanical nature of atomic nuclei in the evaluation of the equilibrium properties of molecules, liquids, or solids at finite temperature. Such nuclear ...

American Institute of Physics2016

A computational model for reference-frame synthesis with applications to motion perception

Michael Herzog, Aaron Michael Clarke

As discovered by the Gestaltists, in particular by Duncker, we often perceive motion to be within a non-retinotopic reference frame. For example, the motion of a reflector on a bicycle appears to be circular, whereas, it traces out a cycloidal path with re ...

Elsevier2016

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Rolf Gruetter, Yves Wiaux, José Pedro Rebelo Ferreira Marques, Diana Khabipova

The aim of this study is to perform a thorough comparison of quantitative susceptibility mapping (QSM) techniques and their dependence on the assumptions made. The compared methodologies were: two iterative single orientation methodologies minimizing the l ...

Elsevier2015

Anatomy of a Drop-Off Reading Curve

Frédéric Kaplan, Cyril Antoine Michel Bornet

Not all readers finish the book they start to read. Electronic media allow to us to measure more precisely how this “drop-off” effect unfolds as readers are reading a book. A curve showing how many people have read each chapter of a book is likely to be pr ...

2015

Michaël Unser, Daniel Andreas Schmitter

We present a new formulation of a shape space containing all continuously defined 2D spline curves up to a similarity transform of a reference shape. We are able to measure a distance between an arbitrary curve and the shape space itself. Our contribution ...

IEEE2015

Tracing path-guided apparent motion in human primary visual cortex V1

Michael Herzog, Michel Akselrod

Vision is a constructive process. For example, a square, flashed at two distinct locations one after the other, appears to move smoothly between the two locations rather than as two separate flashes (apparent motion). Apparent motion is usually perceived a ...

Nature Publishing Group2014

Sampling Curves with Finite Rate of Innovation

Thierry Blu, Hanjie Pan, Pier Luigi Dragotti

In this paper, we extend the theory of sampling signals with finite rate of innovation (FRI) to a specific class of two-dimensional curves, which are defined implicitly as the zeros of a mask function. Here the mask function has a parametric representation ...

Institute of Electrical and Electronics Engineers2014

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Courbe brachistochrone

Probing the buckling of pressurized spherical shells

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Accelerated path integral methods for atomistic simulations at ultra-low temperatures

A computational model for reference-frame synthesis with applications to motion perception

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Anatomy of a Drop-Off Reading Curve

Similarity-Based Shape Priors for 2D Spline Snakes

Spatial properties of non-retinotopic reference frames in human vision

Tracing path-guided apparent motion in human primary visual cortex V1

Sampling Curves with Finite Rate of Innovation

Graph Chatbot

Chattez avec Graph Search

Spatial properties of non-retinotopic reference frames in human vision

Accelerated path integral methods for atomistic simulations at ultra-low temperatures

Probing the buckling of pressurized spherical shells

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Similarity-Based Shape Priors for 2D Spline Snakes

A computational model for reference-frame synthesis with applications to motion perception

Tracing path-guided apparent motion in human primary visual cortex V1

Anatomy of a Drop-Off Reading Curve

Sampling Curves with Finite Rate of Innovation

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge