Ulf Großekathöfer
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Address:
Ulf Großekathöfer
Ambient Intelligence Group
CITEC - Center of Excellence in
Cognitive Interaction Technology
Bielefeld University
POB 10 01 31
33501 Bielefeld - Office:Q1-144
- Phone:+49 521 106 12167
- Email:ugrossek@techfak.uni-bielefeld.de
Research Interests
- Machine Learning and Data Mining algorithms in real world applications
- Analysis of multivariate sequences and time series in interaction scenarios
Very Short CV
Ulf studied Scientific Computer Science at Bielefeld University/Faculty of Technology with a major focus on machine learning and data mining. After receiving his diploma (German eq. to M.Sc.) in 2005, he worked as a software developer on solutions for high availability and massive data transfer applications.
Today he is at the CITEC graduate school and member of the CITEC research groups Ambient Intelligence and Sociable Agents.
From 12.2011 to 03.2012 Ulf visited the Queensland University of Technology, Brisbane, Australia.
Software
- pktree: a K-tree implementation in python
- pyomm: an implementation of Ordered Means Models in python
Publications and Contributions
2012
- Low Latency Recognition and Reproduction of Natural Gesture Trajectories
(Nominated for best paper award)
U. Großekathöfer, A. Sadeghipour, T. Lingner, P. Meinicke, T. Hermann, S. Kopp
1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012)
Vilamoura, Portugal - On-the-fly behavior coordination for interactive virtual agents – A model for learning, recognizing and reproducing hand-arm gestures online
U. Großekathöfer, N. Wöhler, T. Hermann, S. Kopp
11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2012)
Valencia, Spain - Learning of Object Manipulation Operations from Continuous Multimodal Input
U. Großekathöfer., A. Barchunova, R. Haschke, T. Hermann, M. Franzius, H. Ritter
Humanoids 2011, Bled, Slovenia, 2011-10-26 - Pyktree: a K-tree implementation in Python
U. Großekathöfer, C.M. De Vries, S. Geva
Technical Report - A calibration-free head gesture recognition system with online capability
N. Wöhler, U. Großekathöfer, A. Dierker, M. Hanheide, S. Kopp, T. Hermann
International Conference on Pattern Recognition
Istanbul, Turkey, 2010-08-23. IEEE Computer Society - New Sensors and Pattern Recognition Techniques for String Instruments
T. Großhauser, U. Großekathöfer, T. Hermann
New Interfaces for Musical Expression 2010 (NIME 2010)
Sydney, Australia, K. Beilharz, A. Johnston, S. Ferguson, A.Y.C. Chen, eds. International Conference on New Interfaces for Musical Expression - Diploma thesis: New approaches to machine learning of alignments
(german: Neue Ansätze zum maschinellen Lernen von Alignments) with T. Lingner. - BCI-Competition 2003:
Data Set IIb Support Vector Machines for the P300 Speller Paradigm
M. Kaper, P. Meinicke, U. Großekathöfer, T. Lingner, H. Ritter
IEEE Transactions on Biomedical Engineering, Vol. 51, 2004. - First place at the Brain Computer Interface Competition 2003 together with M. Kaper, P. Meinicke, T. Lingner and H. Ritter
- Anytime Classification with Ordered Means Models -- an Implementation of a Gesture-Interaction-Game with a Virtual Agent
(german: Anytime Klassifikation mit Ordered Means Models am Beispiel eines Gesten-Interaktions-Spiels mit einem virtuellen Agenten)
Master's Thesis, N.C. Wöhler - Development of an Interactive, Sensor-based Imitation Game for Children
(german: Entwicklung eines interaktiven, sensorbasierten Imitationsspiels für Kinder)
Bachelor's Thesis, M. Rudolph - Machine Learning of head gestures by means of Ordered Means Models
(german: Maschinelles Lernen von Kopfgesten mit Ordered Means Models)
Bachelor's Thesis, N.C. Wöhler - Exercises: Data Mining 1
- Exercises: Data Mining 2
- Project Intelligent Room: ISY-Listening - Interaction with Audio Databases
- Exercises: Data Mining 1
- Project Intelligent Room: HSOM Interaction with Audio Databases
- Project: Large-scale Prototyping for Time Series
- Exercises: Data Mining 2
- Project Intelligent Room: HSOM Interaction with Audio Databases