Workshop program
The workshop will take place on 12.9.2016, 9.00 a.m. - 17.50 p.m. accompanying GCPR in Hanover.
It will take place at the Hotel Dormero
in Hanover.
This year, again, we received a large number of very good contributions.
All regular contributions will be presented by a talk of 15 min plus 5 min questions,
short contributions will be presented by a talk of 10 min plus 5 min questions.
Preliminary Schedule
| 9:00 |
Opening |
| 9:05-10:00 |
Advances in learning vector quantization
- T. Villmann, M. Kaden, A. Bohnsack:
Classification Margin Dependent Exploration Horizons of Prototypes for Outlier Robust Classification in Learning Vector Quantization
- B. Paassen, A. Schulz, B. Hammer:
Linear Supervised Transfer Learning for Generalized Matrix LVQ
- K. Bunte, E. S. Baranowski, W. Arlt, P. Tino:
Relevance Learning Vector Quantization in Variable Dimensional Spaces
|
| 10:00-11:00 |
Processing time series data
- F. Melchert, U. Seiffert, M. Biehl:
Functional approximation for the classification of smooth time series
- W. Aswolinskiy, J. Steil:
Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks
- F. Raue, M. Liwicki, A. Dengel:
Symbolic Association Learning inspired by the Symbol Grounding Problem
|
| 11:00-11:30 |
Coffee break |
| 11:30-12:30 |
Keynote talk
Marc Toussaint (University of Stuttgart):
Representation Learning - I've heard that one before
|
| 12:30-14:00 |
Lunch break |
| 14:00-15:00 |
Keynote talk
Jörg Lücke
(University of Oldenburg):
Neural Simpletrons - Minimalistic Deep Neural Networks for Probabilistic Learning with Few Labels
|
| 15:00-16:00 |
Sampling, modelling, and optimization
- O. Walter, R Häb-Umbach:
Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
- R. Rayyes, J. Steil:
Goal Babbling with Direction Sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot
- J. Brinkrolf, T. Mittag, R. Joppen, A. Dröge, K.-H. Pietsch, B. Hammer:
Virtual optimisation for improved production planning
|
| 16:00-16:30 |
Coffee break |
| 16:30-17:40 |
Computer vision and deep learning
- H. Berntsen, W. Kuijper, T. Heskes:
The Artificial Mind's Eye - Resisting Adversarials for Convolutional Neural Networks using Internal Projection
- M. Garbade, J. Gall:
Handcrafting vs Deep Learning: An Evaluation of NTraj+ Features for Pose Based Action Recognition
- J. Kreger, L. Fischer, U. Bauer-Wersing, T. Weisswange:
Quality Prediction for a Road Detection System
- P. P. Fouopi, G. Srinivas, S. Knake-Langhorst, F. Köster:
Object Detection Based on Deep Learning and Context Information
|
| 17:40-17:50 |
Nomination of the best presentation award, closing |
| 17:50-18:30 |
Meeting of the GI Fachgruppe Neural Networks and of the German Neural Networks Society |
