NC² New Challenges in Neural Computation (NC2)
Workshop of the GI-Fachgruppe Neuronale Netze and the German Neural Networks Society in connection to GCPR 2014, Münster

Workshop program

The duration of the talks itself is limited to 15 min and 10 min for discussions. Please address open problems, questions, challenges, directions of future research, failures of the approach and similar.
9:00 Opening
9:00-10:15 Time and dynamics in neural networks
  • Hao Wu: Sparse Spectrum Hidden Markov Models of Metastable Systems
  • Martin Meier, Robert Haschke and Helge J. Ritter: The impact of frequency distributions in a perceptual grouping oscillator network
  • Tim U. Krause, Phil Y. Schrör, and Rolf P. Würtz: Spiking network simulations
10:15-10:40 Coffee break
10:40-11:30 Feature detection
  • Arash Kermani Kolankeh, Michael Teichmann and Fred Hamker: Role of competition in robustness under loss of information in feature detectors
  • Jens Hocke, Thomas Martinetz: Learning Transformation Invariance for Object Recognition
11:30-12:30 Keynote talk
Prof. Dr. Peter Tino (University of Birmingham, UK): Learning in the Model Space for Temporal Data
12:30-14:00 Lunch break
14:00-15:00 Keynote talk
Prof. Dr. Michael Biehl (RU Groningen, NL): Prototype-based classifiers and their application in the life sciences
15:00-15:50 Machine learning challenges
  • Joao Alves, Sascha Lange, Michael Lenz, and Martin Riedmiller: Case Study: Behavioral Prediction of Future Revenues in Freemium Games
  • Sven Hellbach, Frank Bahrmann, Sabrina Keil, Hans-Joachim Boehme: Learning is hard work: Detecting dynamic obstacles in occupancy grid maps
15:50-16:30 Coffee break and Meeting of the GI Fachgruppe Neural Networks
16:30-17:35 Machine learning and external knowledge
  • Patrick Blöbaum and Alexander Schulz: Transfer Learning without given Correspondences
  • Barbara Hammer, David Nebel, Martin Riedel, Thomas Villmann: Enforcing interpretability in classification by modelling constrained optimization problems
  • Frank-Michael Schleif, Xibin Zhu, Barbara Hammer: Prior knowledge for Core Vector Data Description
17:35-17:45 Nomination of the best presentation award and closing
Here is a link to the proceedings.

Venue

The workshop takes place in the Mathematics and Computer Science Department of University of Münster (8 story building), Einsteinstr.62, room 19 in the seminar centre; here is a description how to reach the department. Registration to the workshop is available via the GCPR 2014.

ENNS The workshop is sponsored by the European Neural Networks Society and by the CITEC centre of excellence CITEC: Cognitive Interaction Technology - Center of Excellence

Barbara Hammer