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23.09.2014

perClass referenced in recent books

recent books referencing perClass'We’re happy to share that perClass is recommended by authors of several recent books. Several different areas are covered including laser spectroscopy, analysis of seismic events and classifier fusion.


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13.06.2014

Vision and Robotics fair demonstrated demand for practical machine learning

robot vision fair pattern recognition'This week Vision-Robotics fair in Veldhoven was a great opportunity for us to get in touch again with the large network of users, machine builders, component providers and researchers.  The joined Vision and Photonica events accompanied with the RoboNed conference provided an excellent platform to discuss state-of-the-art in the field.

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11.04.2014

April 2014 perClass training course

pattern recognition training course for industry'The last edition of the perClass course took place in the week 7-11 April in Delft. This time, we welcomed researchers from UK, Belgium and The Netherlands working on diverse applications including hyperspectral imaging, high-speed computer-vision and bio-medical signal processing.

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04.04.2014

In-house training course in Wageningen

Tomato classification from hyperspectral image' In the beginning of April, we organized an in-house training course in Wageningen UR (Plant Sciences Group). It was a great to work with this highly experienced team specializing in agricultural automation. Our course covered the entire pattern recognition system design life-cycle from problem definition, feature selection, classifier training to application-specific performance optimization and real-time deployment.

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02.12.2013

Ever wished for a faster Gaussian mixture classifier?

fast Gaussian mixture classifier in Matlab' Oh yes we did! In many of our projects, the best classifier is something a bit more flexible than a simple model but not too much more. Non-parametric classifiers such as k-NN or Parzen are powerful but, for large problems, quickly become a bottleneck due to their execution speed.

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