ICMLA Face Recognition Challenge -- Results of the Team Computational Intelligence Mittweida
Thomas Villmann, Marika Kästner, David Nebel, Martin Riedel · 2012
The contribution describes the application of the Team 'Computational Intelligence Group' from the University of Applied Sciences Mittweida (Germany) to the ICMLA Face Recognition Challenge 2012. In particular we explain the data preprocessing and feature extraction, which was applied before classification learning. Further we give details about the used classification algorithm - the enhanced generalized matrix learning vector quantization model (eGMLVQ). We provide information about the results as well as observed classification properties detected by the learning algorithm.