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
wednesday 04 july 2012
New version of my pure Java ML library. It seems I'm working a lot on it these days. The main novel item is the introduction of a multiclass classifier compatible will all binary classifier thanks to Java Generics. I also made a class for N-Fold cross-validation, and add a package for generating toys data. As usual, there is also some bug fixes.
The updated entry is on mloss.
friday 22 june 2012
Short update on JKernelMachines with few news features (new non-convex SVM algorithm, customizable MKL regarding internal SVM solver), many bug fixes, and a more complete example usable as a standalone application.
The reference page can be found on mloss.
monday 18 june 2012
We have a paper on image categorization accepted at ICPR next November. This is the other part of the Work Romain Negrel has been doing with VLAT. This time it's about efficiency in image classification. We tried to put every tricks of latest image categorization techniques (like dense sampling, spatial pyramid, and so on) into our VLAT while still retaining small size signatures.
All in all, we managed to achieve 61.5% mAP on VOC2007, which is not bad at all considering we used a single feature and a linear classifier (a stochastic gradient descent from Leon Bottou). Actually, if you put the throttle a bit further, you can expect better results, but then it becomes very heavy computationally speaking. As usual, some code is available here, although it's only for the Holydays dataset right now. At least you can produce the features and then use your own machine learning library (or mine, of course!).
monday 04 june 2012
Check the new version: https://mloss.org/software/view/409/
Among the new features worth noting are:
- Improved building procedure
- Evaluation and cross validation packages
- Csv file format
- Lot more of documentation
- Very simple and naive unit testing
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