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Wrede, S., An Information-Driven Architecture for Cognitive Systems Research, : Bielefeld University, 2008. Abstract

Wischnewski, M., J. J. Steil, L. Kehrer, and W. X. Scheider, "Integrating Inhomogeneous Processing and Proto-object Formation in a Computational Model of Visual Attention", Proc. Human Centered Robotic Systems, 2009.

Download: hcrs09_download.pdf (461.97 KB)

Wischnewski, M., A. Belardinelli, J. J. Steil, and W. X. Scheider, "Where to Look Next? Combining Static and Dynamic Proto-ob jects in a TVA-based Model of Visual Attention", Cognitive Processing, Submitted.

Willert, V., J. Schmuedderich, J. Eggert, C. Goerick, and E. Koerner, "Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation", British Machine Vision Conference 2008, vol. 2, pp. 695Ã¢â‚¬â€œ704, September, 2008.

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)

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, "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 and Faces in an Integrated Biologically Motivated Architecture", International Conference in Computer Vision Systems: Bielefeld University, 2007.

Wersing, H., J. J. Steil, and H. Ritter, "A Competitive Layer Model for Feature Binding and Sensory Segmentation", Neural Computation, vol. 13, no. 2, pp. 357-387, 2001.

Weng, S., and J. J. Steil, "Data Driven Generation of Interactions for Feature Bindingand Relaxation Labeling", Proc. ICANN, pp. 432-437, 2002.

Weng, S., and J. J. Steil, "Learning Compatibitlity Functions for Feature Binding and Perceptual Grouping", Proc. of ICANN/ICONIP 2003: Springer Verlag, LNCS 2714, pp. 60-67, 2003.

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.

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Vollmer, A. L., K. Lohan, K. Fischer, Y. Nagai, K. Pitsch, J. Fritsch, K. Rohlfing, and B. Wrede, "People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning", International Conference on Development and Learning, vol. 8, Shanghai, China, IEEE, 04/06/2009.

Vollmer, A. L., K. Lohan, J. Fritsch, B. Wrede, and K. Rohlfing, "Which Motionese Parameters Change with Children's Age?", Cognitive Development Society, VI Biennial Meeting, San Antonio, Texas, USA, 2009.

S

Steil, J. J., and H. Ritter, "Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation", Proc. of ESANN 99, pp. 369-374, 1999.

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., F. Roethling, R. Haschke, and H. Ritter, "Learning issues in a multi-modal robot-instruction scenario", Proc. IROS, vol. Workshop o, Oct, 2003.

Steil, J. J., "Local input-output stability of recurrent networks with time-varying weights", Proc. ESANN 2000, pp. 281-286, 2000.

Steil, J. J., G. C. Cawley, and F. Rossi, "New Issues in Neurocomputing: 13th European Symposium on Artificial Neural Networks", Neurocomputing, vol. 69, no. 7-9, pp. 625-262, Mar, 2006.

Steil, J. J., "Local structural stability of recurrent networks with time-varying weights", Neurocomputing, vol. 48, no. 1-4, pp. 39-51, 2002.

Steil, J. J., Markoffsche Felder und wechselseitige Information in der Bildverarbeitung, : University of Bielefeld, 1993.

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)

Steil, J. J., "Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning", LNCS, vol. 3697, pp. 649-654, Sep, 2005.

Steil, J. J., and H. Ritter, "Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor", Proc. ICANN 99: IEE, pp. 761-766, 1999.