thursday 17 april 2014
2014 is set to be a good year! We already have the reviews for a few papers I've been working on lately. Some are in the ML domain (an ICPR paper with Romain Negrel on supervised sparse subspace learning, an ESANN paper with Jérôme Fellus on decentralized PCA), others in CV (2 journals in revision on low level visual descriptors with Olivier Kihl) and 1 in 3D indexing with Hedi Tabia (CVPR poster)
Other than that, I've been pushing version 2.3 of jkms. I've tagged it the "density edition" since most of the changes are related to density estimators (mostly one class SVM). I've introduced the density version of SimpleMKL, which could e useful to perform model selection. Basically, if you set C=1, you'll get a Parzen estimator, albeit selection the kernel from a specific set.
Finally, I'll be in Brugge next week for the ESANN 2014 conference. A good way to start new projects, if anyone volunteers!
friday 06 september 2013
Similarity on curves is usually very expansive since it requires to re-parametrize one of the curves so as to map it to the same affine space as the other. To circumvent the heavy processing, we proposed to use the Nyström approximation for kernels on some well chosen training set found by active learning. Nothing excessively fancy, but very very effective in computational time.
On the other hand, Hedi is co-organizing the next 3DOR 2014, which will be held in Strasbourg just before Eurographics. The website is brand new, so expect more information soon.
tuesday 05 march 2013
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
friday 16 november 2012
I am organizing a special session with Philippe Gosselin at this year's ESANN conference.
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.
Submission of full paper: November 30, 2012
Notification of acceptance: February 1, 2013
monday 17 september 2012
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