Kenzler Conferences - NC² - New Challenges in Neural Computation

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

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