Brachistochrone curve

Efficient learning of smooth probability functions from Bernoulli tests with guarantees

Volkan Cevher, Ali Kavis, Paul Thierry Yves Rolland

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

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

Brachistochrone curve

Efficient learning of smooth probability functions from Bernoulli tests with guarantees

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

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

Graph Chatbot

Efficient learning of smooth probability functions from Bernoulli tests with guarantees

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

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