Machine learning day

From Wiki for RobotCub and Friends

Organizers

RBCS(1), TERA(2), Plus Lab(3), Slipguru(4)

(1) Robotics, Brain and Cognitive Science Department, Italian Institute of Technology (IIT), Via Morego, 30 16163 Genova, Italy. Ph: +39 010 71781411, contact email: giorgio.metta_(at)_iit.it

(2) Telerobotics and applications, Italian Institute of Technology (IIT), Via Morego, 30 16163 Genova, Italy. Ph: +39 010 71781401, contact email: jean-guy.fontaine_(at)_iit.it

(3) Pattern analysis, Learning, and image Understanding Systems lab, Italian Institute of Technology (IIT), Via Morego, 30 16163 Genova, Italy. Ph: +39 010 71781504, contact email: vittorio.murino_(at)_iit.it

(4) Slipguru, University of Genoa, Via Dodecaneso, 35 16146 Genova, Italy Ph: +39 010 3536667, contact email: verri_(at)_disi.unige.it

When and where

The workshop is held at IIT (meeting room 4th floor) on June 8th, 2010. Overhead projectors are available. The meeting might be video recorded.

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Agenda This is a tentative agenda. We need to close by 5pm (a few people have to catch a plane). Time Speaker, title, affiliation Notes 10.00-10.15 Giorgio Metta: Welcome and introduction RBCS 10.15-10.30 Alessandro Verri: A brief introduction to Slipguru Slipguru 10.30-10.50 Curzio Basso: Slipguru approach to learning Slipguru -pdf- 10.50-11.30 Coffee break 3rd floor RBCS 11.30-12.00 Alessio Del Bue: Large-scale optimisation of bilinear models with manifold constraints in Computer Vision abstract, Plus -pdf- 12.00-12.20 Francesca Odone: What we did and do in computer vision Slipguru -pdf- 12.20-13.30 Lunch break 3rd floor RBCS 13.30-14.00 Stephn Hart: Learning Generalizable Control Programs abstract, RBCS -pdf- 14.00-14.20 Matteo Santoro: Learning algorithms for medical image analysis Slipguru -pdf- 14.20-14.50 Arjan Gijsberts: Incremental Learning of Robot Dynamics with Constant Complexity RBCS -pdf- 14.50-15.10 Annalisa Barla: How we learned to cope with molecular biology data Slipguru -pdf- 15.10-15.40 Coffee break 15.40-16.10 Carlo Ciliberto: Recognition of self-controllable body parts via online Multiple Instance Learning abstract, RBCS -pdf- 16.10-17.00 Concluding remarks (time allowance for possible delays)

Objectives

• To mutually understand activities in machine learning and computer vision
• To look for potential overlap of activities and collaborations
• To learn!

Intended audience

This workshop has a broad audience, IIT or DISI people are welcome to attend. Our PhD students are especially encouraged to participate.

Acknowledgements

All the participants.

References

• [1] Nosengo N.. "Robotics: The bot that plays ball" Nature Vol 460, 1076-1078 (2009) doi:10.1038/4601076a.