RAMP 10 Detecting Mars craters in satellite images

Liste des contributions

7. Introduction to Mars craters

Frédéric Schmidt (GEOPS / UPSud)

12/10/2017 10:00

8. The starting kit

Alexandre Boucaud (LAL), Joris Van den Bossche (INRIA)

12/10/2017 10:30

• The prediction problem
• Patching
• Detection score
• Workflow

9. The first coding session

12/10/2017 11:00

6. Presentation du lieu collaboratif PROTO204

12/10/2017 14:00

10. The second coding session

12/10/2017 14:05

11. Wrap-up

12/10/2017 17:00

1. Convnet tutorial

Balázs Kégl (LAL), M. mehdi cherti (LAL/Appstat)

Q&A on Andrey Karpathy's course: http://cs231n.github.io/convolutional-networks/

5. NVIDIA

Guillaume barat (NVIDIA)

0. Setting up AWS

Balázs Kégl (LAL), M. mehdi cherti (LAL/Appstat)

2. The pollinating insect starting kit

Balázs Kégl (LAL), M. mehdi cherti (LAL/Appstat)

3. The RAMP: motivations and goals

Dr Akin Kazakci (MINES ParisTech)

Managing the data science process.

4. The RAMP: where we are going

Balázs Kégl (LAL)

Workflows.

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