Forscherprofil
1Geleitete Drittmittelprojekte
2Mitarbeit in Drittmittelprojekten
12Publikationen
- Direct Incorporation of L1-Regularization into Generalized Matrix Learning Vector Quantization
LISCHKE, Falko, NEUMANN, Thomas, HELLBACH, Sven, VILLMANN, Thomas, BÖHME, Hans-Joachim, 2018. Direct Incorporation of L1-Regularization into Generalized Matrix Learning Vector Quantization. In: International Conference on Artificial Intelligence and Soft Computing. 2018. pages: 657-667.. - RoNiSCo: Robotic Night Shift Companion
LISCHKE, Falko, BAHRMANN, Frank, HELLBACH, Sven, BÖHME, Hans-Joachim, 2017. RoNiSCo: Robotic Night Shift Companion. In: NC^2, Basel, 12.09.2017. - Deep Learning and LVQ - Some first Results in Image Classification
NEUMANN, Thomas, HELLBACH, Sven, WACKER, Markus, 2017. Deep Learning and LVQ - Some first Results in Image Classification. In: Mittweida Workshop on Computational Intelligence (MiWoCi 2017), Mittweida, 24.07.2017. - Towards estimation of muscle activity patterns for balance assessment from surface deformations in motion
GASSEL, Stefanie, FRIEDRICH, Jens, KLINGNER, Mathias, LISCHKE, Falko, HELLBACH, Sven, NEUMANN, Thomas, BöHME, Hans-Joachim, WACKER, Markus, 2016. Towards estimation of muscle activity patterns for balance assessment from surface deformations in motion. Conf. Proc. of Neuromechanics, 4th-6th Oct., Heidelberg, Germany. - A Fuzzy-based Adaptive Environment Model for Indoor Robot Localization
BAHRMANN, Frank, HELLBACH, Sven, BÖHME, Hans-Joachim, 2016. A Fuzzy-based Adaptive Environment Model for Indoor Robot Localization. In: Proceedings (846) Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics - 2016. ISBN 978-0-88986-986-8. Verfügbar unter: DOI: 10.2316/P.2016.847-021 - Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps
Hellbach, S., Himstedt, M., Bahrmann, F., Riedel, M., Villmann, T., Böhme, H.-J., 2014. Find rooms for improvement: Towards semi-automatic labeling of occupancy grid maps. 21th International Conference on Neural Information Processing. - Understanding Dynamic Environments with Fuzzy Perception
Bahrmann, F., Hellbach, S., Keil, S., Böhme, H.-J., 2014. Understanding Dynamic Environments with Fuzzy Perception. 21th International Conference on Neural Information Processing. - Learning is hard work: Detecting dynamic obstacles in occupancy grid maps.
Hellbach, S., Bahrmann, F., Keil, S., Böhme, H.-J., 2014. Learning is hard work: Detecting dynamic obstacles in occupancy grid maps. . Proceedings of the Workshop - New Challenges in Neural Computation 2014 (NC2 2014). - Large Scale Place Recognition in 2D LIDAR Scans using Geometrical Landmark Relations
Himstedt, M., Hartmann, J., Hellbach, S., Böhme, H.-J., Maehle, E., 2014. Large Scale Place Recognition in 2D LIDAR Scans using Geometrical Landmark Relations. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). - An Approach to Abstract Handling of Content for Human Machine Interaction Applications.
Schmidt, R., Fonfara, J., Hellbach, S., Böhme, H.-J., 2014. An Approach to Abstract Handling of Content for Human Machine Interaction Applications. . Proceedings of the Workshop Model-Driven Robot Software Engineering (MORSE). - Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps
Hellbach, S., Himstedt, M., Bahrmann, F., Riedel, M., Villmann, T., Böhme, H.-J., 2014. Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps. Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps. - RFSOM Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation
Klingner, M., Hellbach, S., Riedel, M., Kaden, M., Villmann, T., Böhme, H.-J., 2014. RFSOM Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation. dvances in Self-Organizing Maps and Learning Vector Quantization.
24Erstellte Gutachten
- 10th Workshop On Self-Organizing Maps
Auftraggeber: FH Mittweida | Abgabedatum: 14.01.2014 - 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012)
Auftraggeber: | Abgabedatum: 01.01.2012 - 2012 International Conference on Intelligent Robotics and Applications (ICIRA 2012)
Auftraggeber: | Abgabedatum: 01.01.2012 - 25th German Association for Pattern Recognition (DAGM 2013) Workshop on New Challenges in Neural Computation (NC2), Saarbrücken, Deutschland, 3. September 2013
Auftraggeber: | Abgabedatum: 01.01.2013 - 35. Deutsche Konferenz für künstliche Intelligenz (KI 2012)
Auftraggeber: | Abgabedatum: 01.01.2012 - European Conference on Mobile Robots (ECMR)
Auftraggeber: University of Lincoln, UK | Abgabedatum: 01.06.2014 - European Symposium on Artificial Neural Networks
Auftraggeber: European Neural Network Society (ENNS) | Abgabedatum: 10.01.2014 - German Association for Pattern Recognition (DAGM 2013) Workshop on New Challenges in Neural Computation (NC2)
Auftraggeber: Uni Bielefeld | Abgabedatum: 22.07.2014 - IEEE International Conference on Robotics and
Automation
Auftraggeber: IEEE Robotics and Automation Society | Abgabedatum: 18.11.2014 - IEEE/RSJ International Conference on Intelligent Robots and Systems
Auftraggeber: IROS | Abgabedatum: 09.05.2016 - International Conference on Neural Information Processing (ICONIP)
Auftraggeber: Organizing Committee of ICONIP 2014 | Abgabedatum: 06.07.2014 - International Joint Conference on Neural Networks
Auftraggeber: International Neural Network Society (INNS) | Abgabedatum: 15.02.2015 - International Joint Conference on Neural Networks
Auftraggeber: International Neural Network Society (INNS) | Abgabedatum: 11.03.2014 - International Joint Conference on Neural Networks (IJCNN 2012)
Auftraggeber: | Abgabedatum: 01.01.2012 - International Joint Conference on Neural Networks (IJCNN)
Auftraggeber: IJCNN | Abgabedatum: 01.03.2016 - Journal of Neurocomputing
Auftraggeber: Journal of Neurocomputing | Abgabedatum: 01.08.2016 - Journal of Neurocomputing, Special Issue in New Challenges in Neurocomputing 2013
Auftraggeber: | Abgabedatum: 01.01.2013 - Künstliche Intelligenz
Auftraggeber: Sneha Rahul Springer Journals Editorial Office Künstliche Intelligenz | Abgabedatum: 30.03.2015 - Neural Processing Letters
Auftraggeber: Springer | Abgabedatum: 01.05.2014 - Neuro Processing Letters
Auftraggeber: International Neural Network Society (INNS) | Abgabedatum: 30.03.2015 - New Challenges in Neural Computation (NC2)
Auftraggeber: Prof. Barbara Hammer | Abgabedatum: 14.06.2015 - Workshop on Model-Driven Robot Software Engineering (MORSE)
Auftraggeber: TU Dresden | Abgabedatum: 31.05.2014 - Workshop on Model-Driven Robot Software Engineering (MORSE)
Auftraggeber: Workshop on Model-Driven Robot Software Engineering (MORSE) | Abgabedatum: 27.06.2016 - Workshop on New Challenges in Neural Computation (NC2 2012)
Auftraggeber: | Abgabedatum: 01.01.2012