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Publications associées (29)

Quantifying the Error of Light Transport Algorithms

This paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal-time renderings of competing algor ...

2019

Development of topological tools for the analysis of biological data

Rachel Marcone

There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex data sets. Topological data analysis (TDA) has been used to approach this problem. This recent field of mathematics discerns characteristic features of a space ...

EPFL2018

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

Fluid Dynamics and Outliers : Outstanding Performance of High-Tech Companies in Microfluidic Technologies

Bernard André Vincent Calisti

The current craze for unicorns and other hyper growth companies brings a novel interest in what makes the exceptional performance of a firm. Literature about technological innovation explains the bond between the performance level reached by a company and ...

EPFL2017

Mapping and classifying molecules from a high-throughput structural database

Michele Ceriotti, Félix Benedito Clément Musil, Sandip De, Teresa Ingram, Carsten Baldauf

High-throughput computational materials design promises to greatly accelerate the process of discovering new materials and compounds, and of optimizing their properties. The large databases of structures and properties that result from computational search ...

Biomed Central Ltd2017

Strong Lens Time Delay Challenge. Ii. Results Of Tdc1

Frédéric Courbin, Georges Meylan, Malte Tewes, Vivien François Bonvin

We present the results of the first strong lens time delay challenge. The motivation, experimental design, and entry level challenge are described in a companion paper. This paper presents the main challenge, TDC1, which consisted of analyzing thousands of ...

American Astronomical Society2015

A robust method for inverse transport modelling of atmospheric emissions using blind outlier detection

Martin Vetterli, Benjamin Bejar Haro, Marta Martinez-Camara

Emissions of harmful substances into the atmosphere are a serious environmental concern. In order to understand and predict their effects, it is necessary to estimate the exact quantity and timing of the emissions, from sensor measurements taken at differe ...

2014

Predicting Fish Acute Toxicity Using a Fish Gill Cell Line-Based Toxicity Assay

Kristin Schirmer

The OECD test guideline 203 for determination of fish acute toxicity requires substantial numbers of fish and uses death as an apical end point. One potential alternative are fish cell lines; however, several studies indicated that these appear up to sever ...

Amer Chemical Soc2013

Factored Facade Acquisition using Symmetric Line Arrangements

Mark Pauly, Duygu Ceylan, Hao Li

We introduce a novel framework for image-based 3D reconstruction of urban buildings based on symmetry priors. Starting from image-level edges, we generate a sparse and approximate set of consistent 3D lines. These lines are then used to simultaneously dete ...

2012