no code implementations • 3 May 2015 • Piotr Płoński, Dorota Stefan, Robert Sulej, Krzysztof Zaremba
The classifier is learned with a constructed feature descriptor to decide whether the images represent the electron neutrino or cascade produced by photons.
no code implementations • 27 Feb 2015 • Piotr Płoński, Dorota Stefan, Robert Sulej, Krzysztof Zaremba
The Liquid Argon Time Projection Chamber (LAr-TPC) detectors provide excellent imaging and particle identification ability for studying neutrinos.
no code implementations • 4 Jul 2014 • Piotr Płoński, Krzysztof Zaremba
In order to change the metric of the SOM we applied a distance metric learning method, so-called 'Large Margin Nearest Neighbour'.
no code implementations • 26 May 2014 • Piotr Płoński, Krzysztof Zaremba
The popular technique to look inside the RF model is to visualize a RF proximity matrix obtained on data samples with Multidimensional Scaling (MDS) method.