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Publications associées (54)

Fluid Dynamics and Outliers

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

Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks

Ali H. Sayed, Bicheng Ying

This paper examines the learning mechanism of adaptive agents over weakly connected graphs and reveals an interesting behavior on how information flows through such topologies. The results clarify how asymmetries in the exchange of data can mask local info ...

IEEE2016

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

Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers

Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud

Clustering algorithms have evolved to handle more and more complex structures. However, measures allowing to qualify the quality of such partitions are rare and only specic to certain algorithms. In this work, we propose a new cluster validity measure (CVM ...

Elsevier2015

Learning by weakly-connected adaptive agents

Ali H. Sayed, Bicheng Ying

In this paper, we examine the learning mechanism of adaptive agents over weakly-connected graphs and reveal an interesting behavior on how information flows through such topologies. The results clarify how asymmetries in the exchange of data can mask local ...

IEEE2015

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

2-Point-based Outlier Rejection for Camera-IMU Systems with applications to Micro Aerial Vehicles

Davide Scaramuzza

This paper presents a novel method to perform the outlier rejection task between two different views of a camera rigidly attached to an Inertial Measurement Unit (IMU). Only two feature correspondences and gyroscopic data from IMU measurerments are used to ...

2014

REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time

Davide Scaramuzza

In this paper, we solve the problem of estimating dense and accurate depth maps from a single moving camera. A probabilistic depth measurement is carried out in real time on a per-pixel basis and the computed uncertainty is used to reject erroneous estimat ...

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

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