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
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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
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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
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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
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17:40-17:50 | Nomination of the best presentation award, closing |
17:50-18:30 | Meeting of the GI Fachgruppe Neural Networks |