Research Institute for Cognition and Robotics

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Publications
Filters: Author is Heiko Wersing  [Clear All Filters]
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Denecke, A., H. Wersing, J. J. Steil, and E. Koerner, "Robust object segmentation by adaptive metrics in Generalized LVQ", Proceedings of the European Symposium on Artificial Neural Networks (ESANN), pp. 319-324, 2008.  Download: DeneckeEtAlESANN2008.pdf (442.91 KB); DeneckeESANN2008Poster.pdf (3.82 MB)
Denecke, A., H. Wersing, J. J. Steil, and E. Koerner, "Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ", International Workshop on Self-Organizing Maps (WSOM), pp. 45 - 53 , 2009.
Denecke, A., H. Wersing, J. J. Steil, and E. Koerner, "Online Figure-Ground Segmentation with Adaptive Metrics in Generalized LVQ", Neurocomputing, pp. 1470-1482, 2009.  Download: DeneckeNeurocomputing2009Draft.pdf (1.26 MB)
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Goetting, M., J. J. Steil, H. Wersing, E. Koerner, and H. Ritter, "Adaptive scene-dependent filters in online learning environments.", Proc. Eur. Symposium Artif. Neural Networks ESANN 2006, pp. 101-106, Apr, 2006.
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Kirstein, S., A. Denecke, S. Hasler, H. Wersing, H. - M. Gross, and E. Koerner, "A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories", Memetic Computing, vol. 1, no. 4, pp. 291–304, 2009.
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Lang, C., S. Wachsmuth, H. Wersing, and M. Hanheide, "Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition Performances", Workshop on CVPR for Human Communicative Behavior Analysis, San Francisco, California, USA, IEEE, pp. 1-7, 18/06/2010. Abstract
Lang, C., S. Wachsmuth, M. Hanheide, and H. Wersing, Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence Selection, : Bielefeld University, Faculty of Technology, Research Institute for Cognition and Robotics / Applied Informatics, 02/2012. Abstract
Lang, C., M. Hanheide, M. Lohse, H. Wersing, and G. Sagerer, "Feedback Interpretation based on Facial Expressions in Human-Robot Interaction", International Symposium on Robot and Human Interactive Communication (RO-MAN), Toyama, Japan, IEEE, pp. 189-194, 27/12/2009. Abstract
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Steil, J. J., and H. Wersing, "Recent Trends in Online Learning for Cognitive Robotics", Proc. European Symposium on Artifical Neural Networks: d-side publications, Apr, 2006.
Steil, J. J., M. Goetting, H. Wersing, E. Koerner, and H. Ritter, "Adaptive scene dependent filters for segmentation and online learning of visual objects", Neurocomputing, vol. 70(7-9), pp. 1235-1246, 2007.  Download: SteilNeurocomputing2007.pdf (1.39 MB)
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Weng, S., H. Wersing, J. J. Steil, and H. Ritter, "Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions", IEEE Transactions on Neural Networks, vol. 17, pp. 843-863, 2006.
Weng, S., H. Wersing, J. J. Steil, and H. Ritter, "Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions", IEEE Trans. Neural Networks, May, 2006.
Wersing, H., J. J. Steil, and H. Ritter, "A Layered Recurrent Neural Network for Feature Grouping", ICANN97, 7th Int. Conf. on Artificial Neural Networks, Lausanne, Switzerland, pp. 439-444, Oct, 1997.
Wersing, H., S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture", International Conference in Computer Vision Systems: Bielefeld University, 2007.
Wersing, H., S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "A biologically motivated system for unconstrained online learning of visual objects", Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), 2006.
Wersing, H., S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "Online Learning of Objects in a Biologically Motivated Visual Architecture", International Journal of Neural Systems, vol. 17, pp. 219-230, 2007.  Download: OnlineLearningObjects_IJNS07.pdf (559.15 KB)

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