Annual CDS Pitching Day

Session

Session 2

8 nov. 2017, 11:20

main auditorium (Digiteo Shannon, building 660)

23. RAMP on detecting Mars craters in satellite images

Joris Van den Bossche (INRIA)

08/11/2017 11:20

Impact craters in planetary science are used to date and characterize planetary surfaces and study the geological history of planets. It is therefore an important task which traditionally has been achieved by means of visual inspection of images. This talk will present a currently ongoing RAMP challenge with the goal to predict the location and size of craters on Mars based on a satellite...

24. Galaxy morphologies and deblending

Alexandre Boucaud (LAL)

08/11/2017 11:40

Current and future generation of large scale astronomical surveys will have to deal with an increasing number of crowded fields due to their sensitivity. In such fields, a high number of objects (mostly galaxies) are "blended" together, which poses a challenge in terms of photometry (measure of individual fluxes) and morphology (shape measurements), both heavily related to the main science...

25. Fake News Detection

Emanuela Boros (CEA, LIST, Laboratoire Vision et Ingénierie des Contenus)

08/11/2017 12:00

Recently, there is a new phenomena of fake news and alternative facts. No one deliberately and consciously desires false information but paradoxically, people pervasively consume fake information. It is essential to restore people's confidence in reliable, fact-checking sources, and reduce media bias whether perceived or real. We believe that exploring artificial intelligence technologies...

18. RAMP: Missing data completion applied to satellite images

Anastase Charantonis

08/11/2017 12:20

This RAMP project aims at training scientist and students at missing data completion applied to satellite images. The principle is to propose a challenge around few test-images to complete (we can chose chlorophyll-a image of ocean
surface which can present a multitude of different problems).

26. Decoding and recoding wall turbulence

Srikanth Muralidhar (limsi)

08/11/2017 12:40

Study of turbulence using numerical tools such as Direct Numerical Simulations, Large Eddy Simulations, etc.
leads to an analysis of large amount of data to discover the underlying physical mechanisms. Estimation of a
turbulent flow using few sensor measurements is yet another important problem in fluid mechanics, which also
involves big data analysis. In this project, we analyze turbulent...