Workshop program
The workshop will take place on 10.10.2015, 9.00 a.m. - 17.10 p.m. accompanying GCPR in Aachen.
It will take place in the Informatikzentrum of RWTH Aachen, AH V.
This year, we received an exceptional number of high quality submissions.
All regular contributions will be presented by both, a short talk (10 minutes including questions)
and a poster in the subsequent poster session, opening the possibility
to discuss technical results in more detail and with a cup of coffee.
Preliminary Schedule
9:00 |
Opening |
9:00-9:50 |
Representation learning
- Christian Bauckhage, Kristian Kersting, Florian Hoppe, Christian Thurau:
Archetypal Analysis as an Autoencoder
- Jens Hocke, Thomas Martinetz:
Learning Transformation Invariance from Global to Local
- Friedrich Melchert, Michael Biehl:
Polynomial approximation of spectral data in LVQ and Relevance Learning
- David Nebel, Marika Kaden:
Dissimilarity Extraction in a Median Variant of Learning Vector Quantization
- Bassam Mokbel, Alexander Schulz:
Towards Dimensionality Reduction for Smart Home Sensor Data
|
9:50-10:40 |
Dealing with time series and sensor streams
- Witali Aswolinskiy, René Felix Reinhart, Jochen Steil:
Impact of Regularization on the Model Space for Time Series Classification
- Danil Koryakin, Fabian Schrodt, Martin V. Butz:
Ensembles of Neural Oscillators
- Patrick Thiam, Markus Kächele, Friedhelm Schwenker, Günther Palm:
Ensemble Methods and Active Learning in HCI
- Stefan Richthofer, Laurenz Wiskott:
Predictable Feature Analysis
- Maximilian Panzner, Philipp Cimiano:
Incremental learning of action models as HMMs over qualitative trajectory representations
|
10:40-11:40 |
Coffee break and poster session for papers number 1-10
|
11:40-12:30 |
Keynote talk Joschka Boedecker (University of Freiburg, DE):
Representation Learning for Control
|
12:30-13:30 |
Lunch break at Restaurant Lara
|
13:30-14:20 |
Deep Learning
- Marcel Binz, Sebastian Otte, Andreas Zell:
On the Applicability of Recurrent Neural Networks for Pattern Recognition in Electroencephalography Signals
- Oswin Krause, Asja Fischer, Christian Igel:
Population Monte Carlo Meets Contrastive Divergence Learning
- Fabian Stark, Caner Hazırbaş, Rudolph Triebel, Daniel Cremers:
CAPTCHA Recognition with Active Deep Learning
- Michael Teichmann, Fred H. Hamker:
Intrinsic Plasticity: A Simple Mechanism to Stabilize Hebbian Learning in Multilayer Neural Networks
- Samuel Rönnqvist, Peter Sarlin:
Identifying bank stress by deep learning of news
|
14:20-15:10 |
Dimensionality reduction and information transfer
- Shahzad Mumtaz, Michel F. Randrianandrasana, Gurjinder Bassi, Ian T. Nabney:
Visualisation of heterogeneous data with simultaneous feature saliency using Generalised Generative Topographic Mapping
- Husam Al-Behadili, Arne Grumpe, Christian Dopp, Christian Wöhler:
Incremental Class Learning and Novel Class Detection of Gestures Using Ensemble
- Frederik Beuth, Fred H. Hamker:
Attention as cognitive, holistic control of the visual system
- Fabian Schrodt, Martin V. Butz:
Learning Conditional Mappings between Population-Coded Modalities
- Andrej Gisbrecht and Frank-Michael Schleif:
Nyström approximation toolbox
|
15:10-16:10 |
Coffee break and poster session for paper numbers 11-20
|
16:10-17:00 |
Keynote talk Christian Igel
(University of Copenhagen, DK):
Machine Learning Meets Image Analysis: From looking inside ourselves to gazing at the stars
|
17:00-17:10 |
Nomination of the best presentation award and the best poster award, closing |
17:10-17:40 |
Meeting of the GI Fachgruppe Neural Networks |