Publications associées à Geometric median

Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE

Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Mario Joao Fartaria de Oliveira, Kieran O'Brien

Objectives The aim of this study was to develop a new automated segmentation method of white matter (WM) and cortical multiple sclerosis (MS) lesions visible on magnetization-prepared 2 inversion-contrast rapid gradient echo (MP2RAGE) images acquired at 7 ...

LIPPINCOTT WILLIAMS & WILKINS2019

A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling

David Atienza Alonso, Amir Aminifar, Damián Pascual Ortiz

Epilepsy is one of the most common neurological disorders and affects over 65 million people worldwide. Despite the continuing advances in anti-epileptic treatments, one third of the epilepsy patients live with drug resistant seizures. Besides, the mortali ...

IEEE2019

When walking peters out: investigating distance-decay and time-decay for daily walking

Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Derek Pierre Christie, Dominic Villeneuve, Fernando Anisio De Oliveira Simas

In Switzerland, walking accounts for 30% of trips and 44% of single-mode episodes. This is higher than in many countries but does not account for walking distances or durations, which tend to be short according to evidence from North America. This contribu ...

2018

Corpora Delicti

Alexandre Blanc, Marco Bakker

CORPORA DELICTI, The Significant Detail. The Corpus Delicti is the evidence of a crime. The term denotes the formation of a proof that allows the unmasking of a perpetrator. In the realm of interpretation and language, it could reveal matter on which an ac ...

MANSLAB2017

How much can we save? Impact of different emission scenarios on future snow cover in the Alps

Michael Lehning, Mathias Thierry Pierre Bavay, Sebastian Schlögl

This study focuses on an assessment of the future snow depth for two larger Alpine catchments. Automatic weather station data from two diverse regions in the Swiss Alps have been used as input for the Alpine3D surface process model to compute the snow cove ...

Copernicus GmbH2017

APPROXIMATING k-MEDIAN VIA PSEUDO-APPROXIMATION

Ola Nils Anders Svensson

We present a novel approximation algorithm for k-median that achieves an approximation guarantee of 1 + root 3 + epsilon, improving upon the decade-old ratio of 3 + epsilon. Our improved approximation ratio is achieved by exploiting the power of pseudo-app ...

Siam Publications2016

Evaluation of the performance characteristics of the European Lightning Detection Network EUCLID in the Alps region for upward negative flashes using direct measurements at the instrumented Säntis Tower

Mario Paolone, Marcos Rubinstein, Mohammad Azadifar, Carlos Alberto Romero Romero, Wolfgang Schulz, Davide Pavanello

In this paper, we present a performance analysis of the European Cooperation for Lightning Detection (EUCLID) lightning detection network using data obtained on lightning currents measured at the Santis Tower (located in northeastern of Switzerland) from J ...

Amer Geophysical Union2016

Progressive Geometric Algorithms

Timur Bagautdinov

Progressive algorithms are algorithms that, on the way to computing a complete solution to the problem at hand, output intermediate solutions that approximate the complete solution increasingly well. We present a framework for analyzing such algorithms, an ...

Carleton Univ, Dept Mathematics & Statistics2015

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Geometric median

Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE

A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling

When walking peters out: investigating distance-decay and time-decay for daily walking

Corpora Delicti

How much can we save? Impact of different emission scenarios on future snow cover in the Alps

APPROXIMATING k-MEDIAN VIA PSEUDO-APPROXIMATION

Evaluation of the performance characteristics of the European Lightning Detection Network EUCLID in the Alps region for upward negative flashes using direct measurements at the instrumented Säntis Tower

How to learn a graph from smooth signals

Models and Algorithms for Comparative Genomics

Progressive Geometric Algorithms

Graph Chatbot

Chattez avec Graph Search

Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE

A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling

APPROXIMATING k-MEDIAN VIA PSEUDO-APPROXIMATION

Evaluation of the performance characteristics of the European Lightning Detection Network EUCLID in the Alps region for upward negative flashes using direct measurements at the instrumented Säntis Tower

Corpora Delicti

Models and Algorithms for Comparative Genomics

When walking peters out: investigating distance-decay and time-decay for daily walking

How much can we save? Impact of different emission scenarios on future snow cover in the Alps

How to learn a graph from smooth signals

Progressive Geometric Algorithms