Workshop program
The duration of the regular talks is limited to 15 min for long papers and 10 min for short papers to allow time for discussions. Please address open problems, questions, challenges, directions of future research, failures of the approach and similar in the presentations to raise discussions rather than giving a standard conference presentation.| 9:00-9:10 | Opening |
| 9:10-10:30 |
Data analysis Jens Hocke, Thomas Martinetz: Application of Maximum Distance Minimization to Gene Expression Data (short paper) Alexander Grigorievskiy, Anton Akusok, Marjo Tarvainen, Anne-Mari Ventelä, Amaury Lendasse: Practical Estimation of Missing Phosphorus Values in Pyhaejaervi Lake Data Peter Sarlin: Replacing the time dimension: A Self-Organizing Time Map over any variable Anton Akusok, Alexander Grigorievskiy, Amaury Lendasse, Yoan Miche: Image-based Classification of Websites |
| 10:30-11:00 | Coffee break |
| 11:00-12:30 |
Vision and robotics Marvin Struwe, Stephan Hasler, Ute Bauer-Wersing: Combining Multiple Classifiers and Context Information for Detecting Objects under Real-world Occlusion Patterns Martin Meier, Robert Haschke, Helge Ritter: Anticipating Intentions as Gestalt Formation: A Model Based on Neural Competition Sven Hellbach, Frank Bahrmann, Marc Donner, Marian Himstedt, Mathias Klingner, Johannes Fonfara, Peter Poschmann, Richard Schmidt, Hans-Joachim Boehme: Learning as an Essential Ingredient for a Tour Guide Robot Johannes Fonfara, Sven Hellbach, Hans-Joachim Boehme: Learning Dialog Management for a Tour Guide Robot Using Museum Visitor Simulation |
| 12:30-14:00 | Lunch break |
| 14:00-14:50 |
Keynote talk Prof. Dr. Udo Seiffert (Fraunhofer IFF, Magdeburg): Challenges of high-dimensional data analysis from the application's perspective |
| 14:50-15:30 |
Prior knowledge integration Marika Kaden, Thomas Villmann: A Framework for Optimization of Statistical Classification Measures Based on Generalized Learning Vector Quantization Alexander Schulz, Andrej Gisbrecht, Barbara Hammer: Classifier inspection based on different discriminative dimensionality reductions |
| 15:30-16:00 | Coffee break |
| 16:00-17:45 |
Local and sparse models Slobodan Vukanovic, Alexander Schulz, Robert Haschke, Helge Ritter: Learning the Appropriate Model Population Structures for Locally Weighted Regression Lluís Belanche: Learning in Networks of Similarity Processing Neurons Maximilian Panzner, Oliver Beyer, Philipp Cimiano: Human Activity Classification with Online Growing Neural Gas David Nebel, Thomas Villmann: About the Equivalence of Robust Soft Learning Vector Quantization and Soft Nearest Prototype Classification Henry Schütze, Erhardt Barth, Thomas Martinetz: Learning Orthogonal Bases for k-Sparse Representations (short paper) |
| 17:45 | Nomination of the best presentation award and closing |
| 17:45-18:15 | Meeting of the GI Fachgruppe Neuronale Netze |
| 18:15-18:45 | Meeting of the GNNS |
| starting from 18:00 | Welcome reception of GCPR |
