50 Publikationen
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093Limberg, C., Wersing, H., and Ritter, H. (2020). “Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot” in Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II, Yang, H., Pasupa, K., Leung, A. C. - S., Kwok, J. T., Chan, J. H., and King, I. eds. Lecture Notes in Computer Science, vol. 12533, (Cham: Springer International Publishing), 738-749.PUB | DOI
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094Limberg, C., Göpfert, J. P., Wersing, H., and Ritter, H. (2020). “Prototype-Based Online Learning on Homogeneously Labeled Streaming Data” in Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II, Farkaš, I., Masulli, P., and Wermter, S. eds. Lecture Notes in Computer Science, vol. 12397, (Cham: Springer International Publishing), 204-213.PUB | DOI
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2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Göpfert, J. P., Wersing, H., and Hammer, B. (2019). “Recovering Localized Adversarial Attacks” in Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I, Tetko, I. V., Kůrková, V., Karpov, P., and Theis, F. eds. Lecture Notes in Computer Science (Cham: Springer International Publishing), 302-311.PUB | DOI
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982084Losing, V., Yoshikawa, T., Hasenjaeger, M., Hammer, B., and Wersing, H. (2019). “Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units” in 2019 International Conference on Robotics and Automation (ICRA) (IEEE), 9530-9536.PUB | DOI
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2016 | Konferenzbeitrag | PUB-ID: 2908455Losing, V., Hammer, B., and Wersing, H. (2016).“Dedicated Memory Models for Continual Learning in the Presence of Concept Drift”. Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona.PUB | PDF
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2014 | Patent | PUB-ID: 2906899Wersing, H., and Queißer, J. 01.06.2016 System for Controlling an Automated Device.PUB | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548Fischer, L., Hammer, B., and Wersing, H. (2014). “Rejection strategies for learning vector quantization” in ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Verleysen, M. ed. (Bruges, Belgium: i6doc.com), 41-46.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2425561Dornbusch, D., Haschke, R., Menzel, S., and Wersing, H. (2012).“Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps”. Presented at the International Conference on Pattern Recognition Applications and Methods, Vilamoura, Algarve, Portugal.PUB | DOI
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2604349Lang, C., Wachsmuth, S., Hanheide, M., and Wersing, H. (2012). Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction. International Journal of Social Robotics - Special Issue on Measuring Human-Robot Interaction 4, 249-262.PUB | DOI | WoS
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034704Lang, C., Wachsmuth, S., Wersing, H., and Hanheide, M. (2010). “Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition Performances” in Workshop on CVPR for Human Communicative Behavior Analysis, IEEE Computer Society, and Institute of Electrical and Electronics Engineers eds. (San Francisco, California, USA: IEEE), 79-85.PUB | DOI
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035Denecke, A., Ayllon Clemente, I., Wersing, H., Eggert, J., and Steil, J. J. (2010). “Figure-ground segmentation using metrics adaptation in levelset methods” in European Symposium on Artificial Neural Networks 417-422.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019022Dornbusch, D., Haschke, R., Menzel, S., and Wersing, H. (2010). “Correlating shape and functional properties using decomposition approaches” in Proc. FLAIRS-23 (AAAI), 398-403.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019017Dornbusch, D., Haschke, R., Menzel, S., and Wersing, H. (2010). “Finding Correlations in Multimodal Data Using Decomposition Approaches” in Proc. ESANN 2010 (Belgium: d-facto), 253-258.PUB
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2009 | Patent | PUB-ID: 2637645Wersing, H., Götting, M., and Steil, J. J. (2009). Adaptive scene dependent filters in online learning environments.PUB
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1991920Lang, C., Hanheide, M., Lohse, M., Wersing, H., and Sagerer, G. (2009). “Feedback Interpretation based on Facial Expressions in Human–Robot Interaction” in International Symposium on Robot and Human Interactive Communication (RO-MAN'09) (Toyama, Japan: IEEE), 189-194.PUB | DOI
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096Denecke, A., Wersing, H., Steil, J. J., and Körner, E. (2008). “Robust object segmentation by adaptive metrics in Generalized LVQ” in Proc. of the European Symposium on Artificial Neural Networks (ESANN) 319-324.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996923Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., Mikhailova, I., Görick, C., Steil, J. J., Ritter, H., and Körner, E. (2007). “Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture” in Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007) (Bielefeld: Bielefeld University).PUB | PDF | DOI
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2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1632803Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., Mikhailova, I., Görick, C., Steil, J. J., Ritter, H., and Körner, E. (2007). Online Learning of Objects in a Biologically Motivated Visual Architecture. International Journal of Neural Systems 17, 219-230.PUB | DOI | WoS | PubMed | Europe PMC
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142182Weng, S., Wersing, H., Steil, J. J., and Ritter, H. (2006). Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks 17, 843-862.PUB | DOI | WoS | PubMed | Europe PMC
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142151Götting, M., Steil, J. J., Wersing, H., Körner, E., and Ritter, H. (2006). “Adaptive scene-dependent filters in online learning environments” in New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005 101-106.PUB | PDF
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142157Steil, J. J., and Wersing, H. (2006). “Recent Trends in Online Learning for Cognitive Robotics” in Proc. European Symposium on Artifical Neural Networks, Verleysen, M. ed. (d-side publications).PUB
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142171Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., Mikhailova, I., Görick, C., Steil, J. J., Ritter, H., and Körner, E. (2006). “A biologically motivated system for unconstrained online learning of visual objects” in Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), Kollias, S. ed., vol. 2, (Berlin, Heidelberg: Springer Berlin Heidelberg), 508-517.PUB | DOI
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2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714352Ontrup, J., Wersing, H., and Ritter, H. (2004). A Computational Feature Binding Model of Human Texture Perception. Cognitive Processing 5, 32-44.PUB
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2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1613503Nattkemper, T. W., Wersing, H., Schubert, W., and Ritter, H. (2002). “A neural network architecture for automatic segmentation of fluorescence micrographs” in Neurocomputing NEUROCOMPUTING, vol. 48, (ELSEVIER SCIENCE BV), 357-367.PUB | DOI | WoS
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2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1616820Wersing, H., Beyn, W. - J., and Ritter, H. (2001). Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions. Neural Computation 13, 1811-1825.PUB | DOI | WoS | PubMed | Europe PMC
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2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142293Wersing, H., Steil, J. J., and Ritter, H. (2001). A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation 13, 357-387.PUB | DOI | WoS | PubMed | Europe PMC
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2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375211Nattkemper, T. W., Wersing, H., Schubert, W., and Ritter, H. (2000). “A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs” in Proc. of the 8th Europ. Symp. on Art. Neur. Netw. (ESANN), Verleysen, M. ed.PUB
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2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374799Nattkemper, T. W., Wersing, H., Schubert, W., and Ritter, H. (2000). “Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding” in Proc. of the Int. Joint Conf. on Neur. Netw. (IJCNN), vol. 1, (Como, Italy), 248-254.PUB
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2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714744Nattkemper, T. W., Wersing, H., Schubert, W., and Ritter, H. (2000). “Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network Architecture” in Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS '00, vol. 2, (Las Vegas, USA), 739-744.PUB
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2000 | Dissertation | PUB-ID: 2434189Wersing, H. (2000). Spatial feature binding and learning in competitive neural layer architectures. Göttingen: Cuvillier.PUB
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1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714834Wersing, H., and Ritter, H. (1999). “Backtracking Deterministic Annealing for Constraint Satisfaction Problems” in ICANN 99, Ninth Int. Conf. Artifical Neural Netwworks Conference Publication / IEE, vol. 470, (London: IEE), 868-875.PUB
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1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714852Wersing, H., and Ritter, H. (1999). “Feature Binding and Relaxation Labeling with the Competitive Layer Model” in Proceedings. ESANN '99, 7th European Symposium on Artificial Neural Networks (Bruges), 295-300.PUB
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1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142325Wersing, H., Steil, J. J., and Ritter, H. (1997). “A Layered Recurrent Neural Network for Feature Grouping” in Int. Conf. on Artificial Neural Networks, Gerstner, W., Germond, A., Hasler, M., and Nicoud, J. - D. eds. 439-444.PUB