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Advanced Patter Recognition Course October 2008

In the end of October the Advanced Pattern Recognition course took place at Delft Technical University. The APRcourse is organized by TUDelft and PR Sys Design and is specifically tailored for people from industry in need of state of the art pattern recognition solutions. There were 12 participants from all over the world (Singapore, Canada and several European countries). This time we invited the participants to briefly introduce themselves and the type of problems they are interested in or dealing with in their work. This gave the opportunity to learn each other interests and background, and stimulated more interactions with the teaching staff and the other participants. A cheerful and cooperative atmosphere developed during the week, boosted also by common dinners and pub celebrations. We have really enjoyed the week and wold like to thank all participants for their contribution. It has been a pleasure to meet and work with you all! Thanks to our “knee man” Shameem we have a group picture of almost the complete team.

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LabView interface

We’re happy to announce the LabView interface example graciously donated by Anton Voigt from DeBeers Consolidated Mines. LabView is a an industrial development platform based on graphical language paradigm. It enables fast system integration using multitude of hardware components. The example, which will be available in the coming PRSD Studio release, shows how to call the classifiers trained using PRSD Studio directly from the LabView environment running on PC hardware.


Support for decision trees

We’re happy to announce that PRSD Studio supports execution of decision trees trained in PRTools. Decision tree is a classifier trained feature-per-feature splitting the feature space into rectangular subspaces. The two key advantages of decision trees are interpretation capability (why was the decision made?) and speed. It is the speed of execution that makes decision tree classifier particularly interesting for industrial practitioners!



libPRSD Executing Support Vector classifiers trained in LIBSVM

LIBSVM is a powerful C library implementing Support Vector training and execution with interfaces to numerous scripting environment including Matlab. We’ve posted a Knowledge Base article showing how to bring a classifier, trained in LIBSVM, to the PRSD Studio and through it to custom applications. Executing SVC in libPRSD also brings significant speedup!

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