David Picard

JKernelMachines version number bumped to 2.0!

The bigs changes are:

• All classes have migrated under fr.lip6.jkernelmachines.* This breaks backward compatibility! (hence the 2.0 version number).
• Separation of the core library and unit testing
• Junit testing added
• Lots of bug fixes
• Better examples, and many useless test classes removed
• A small demo script to benchmark the library was added

I am organizing a special session with Philippe Gosselin at this year's ESANN conference.

Machine Learning for multimedia applications
David Picard , ETIS – ENSEA, Philippe-Henri Gosselin , INRIA Rennes (France)

In recent years, many multimedia applications have shown very successful improvements by leveraging machine learning techniques. These applications include image and video classification, object recognition, image and video retrieval, or event detection.

However, these multimedia applications also uncover new machine learning problems in areas such as mid-level features learning, distance learning, feature combination, and so on.

This special session is intended to research papers that combine machine learning for multimedia problems. The following topics are of particular interest:

• Mid-level features learning, Deep learning
• Feature combination, Multiple kernel learning
• Kernel methods, Kernel learning, Distance learning
• Machine learning methods specially adapted to image classification, image and video retrieval, object or event recognition, etc.

My fellow colleague Aymeric Histace is organizing a workshop at VISIGRAPP following our work on the GeoDiff projet. The key topic is the study of complex diffusion processes by variational approaches and multi-agent systems. I'll be part of the committee to give some help. This workshop is totally open to contributions, so I hope we will have many interesting papers to review. We already have programmed some nice tutorials on MAS.

Here is the scope:
The main aim of this special session is to bring together researchers who are interested in variational methods and by multi agent system in order to (i) reflect on a state-of- the-art on their abilities to model reaction-­-diffusion processes, and (ii) to discuss potential new applications since these two different types of tools are not generally 3 associated with each other whereas such a joint applications can be of primary interest to model complex diffusion process at different scales of the phenomenon.
A second objective of this special session, but not necessarily less important than the first one, is to imagine through this particular application context new tools that will find future applicability in image processing (image restoration or inpainting mainly).

And the important dates:
Paper Submission: November 8, 2012
Authors Notification: December 6, 2012
Final Paper Submission and Registration: December 18, 2012

We have a paper accepted at ICIP next september. This is the work Romain Negrel has beeing doing on trying to reduce the size of our VLAT features using some kernel based dimensionality reduction techniques. We focused on search by similarity, and it happened to give very comparable results for large scale benchmarks.

I hope to release some code on this very soon. At least you can check this page

I'll bee in Brugge next week for the ESANN conference.

I'll be in Vienna this week. This is part of the annual trip to a German speaking country with the second year students. This year, we'll have the excellent opportunity to visit the University of Technology.

Most important of all, it's also the occasion to go to the opera and see die Zauberflöte!