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World map

Related publications (109)

Remote Sensing meets Deep Learning: Exploiting Spatio-Temporal-Spectral Satellite Images for Early Wildfire Detection

Wildfires are getting more severe and destructive. Due to their fast-spreading nature, wildfires are often detected when already beyond control and consequently cause billion-scale effects in a very short time. Governments are looking for remote sensing me ...

2019

SegMap: Segment-based mapping and localization using data-driven descriptors

Roland Siegwart, Andrei Cramariuc

Precisely estimating a robot’s pose in a prior, global map is a fundamental capability for mobile robotics, e.g., autonomous driving or exploration in disaster zones. This task, however, remains challenging in unstructured, dynamic environments, where loca ...

2019

Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation

Sébastien Marcel, Petr Motlicek

Idiap has made a submission to the conversational telephony speech (CTS) challenge of the NIST SRE 2019. The submission consists of six speaker verification (SV) systems: four extended TDNN (E-TDNN) and two TDNN x-vector systems. Employment of various trai ...

Idiap2019

A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

Alessandro Pau

The need for predictive capabilities greater than 95% with very limited false alarms are demanding requirements for reliable disruption prediction systems in tokamaks such as JET or, in the near future, ITER. The prediction of an upcoming disruption must b ...

2019

Quantifying Commitment in Nash Equilibria

Thomas Alois Weber

To quantify a player's commitment in a given Nash equilibrium of a finite dynamic game, we map the corresponding normal-form game to a "canonical extension," which allows each player to adjust his or her move with a certain probability. The commitment meas ...

2019

Deriving Brain Myelin Water Fraction Maps from Relaxometry: a Data-Driven Approach

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Marco Pizzolato, Gian Franco Piredda, Reto Meuli, Jonas Richiardi

Currently, one of the gold-standard methods to obtain brain myelin water fraction (MWF) maps is the multi-echo spin-echo sequence. To overcome some of its limitations (e.g. long acquisition times), a data-driven approach for deriving MWF maps is proposed h ...

2019

Small scale radial inflow turbine performance and pre-design maps for Organic Rankine Cycles

Jürg Alexander Schiffmann, Luis Eric Olmedo Ocampo, Violette Mounier

While small scale ORCs are currently dominated by volumetric expanders, the use of turbomachines is reconsidered due to their high efficiency and power density. Yet, suitable performance maps, which ensure an accurate starting point for the turbine design, ...

Elsevier2018

SAT-Based Area Recovery in Structural Technology Mapping

Bruno Schmitt Antunes

This paper proposes a fast SAT-based algorithm for recovering area applicable to an already technology mapped circuit. The algorithm considers a sequence of relatively small overlapping regions, called windows, in a mapped network and tries to improve the ...

ASSOC COMPUTING MACHINERY2018

The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men

Rebecca Francelet

We report on how visual realism might influence map-based route learning performance in a controlled laboratory experiment with 104 male participants in a competitive context. Using animations of a dot moving through routes of interest, we find that partic ...

TAYLOR & FRANCIS INC2018

Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI

Wietske Van der Zwaag, Cristina Granziera, Guillaume Bonnier, Mario Joao Fartaria de Oliveira, Kieran O'Brien, Yohan Boillat

Although having a relatively homogeneous cytoarchitectonic organization, the cerebellar cortex is a heterogeneous region characterized by different amounts of myelin, iron and protein expression profiles. In this study, we used quantitative T1 and T2* mapp ...

2018

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