Publications

Filters: Author is Jochen J Steil  [Clear All Filters]
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A
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)
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.
Schiller, U. D., and J. J. Steil, "Analyzing the weight dynamics of recurrent learning algorithms", Neurocomputing, vol. 63C, pp. 5-23, 2005.
Fink, G. A., J. Fritsch, N. Lessmann, H. Ritter, G. Sagerer, J. J. Steil, and I. Wachsmuth, "Architekturen situierter Kommunikatoren: Von Perception über Kognition zum Lernen", Informatik 2003, Innovative Informatikanwendungen,Beiträge der 33. Jahrestagung der Gesellschaft für Informatik e.V.: Gesellschaft für Informatik, 2003.
Reinhart, F. R., and J. J. Steil, "Attractor-based computation with reservoirs for online learning of inverse kinematics", ESANN: d-facto, pp. 257-262, April 2009.  Download: ReinhartSteilESANN2009.pdf (286.12 KB)
Muehlig, M., M. Gienger, J. J. Steil, and C. Goerick, "Automatic Selection of Task Spaces for Imitation Learning", IEEE International Conference on Intelligent Robots and Systems , St. Louis, MO, USA, IEEE, pp. 4996-5002, 10/2009. Abstract  Download: MuehligIROS09.pdf (651.83 KB)
B
Steil, J. J., "Backpropagation-Decorrelation: online recurrent learning with O(N) complexity", Proc. IJCNN, vol. 1, pp. 843-848, Jul, 2004.  Download: Steil_BPDC_IJCNN2004.pdf (128.47 KB)
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.
Rolf, M., J. J. Steil, and M. Gienger, "Bootstrapping inverse Kinematics with Goal Babbling", IEEE Int. Conf. on Development and Learning, Ann Arbor, MI, USA, 08/2010.  Download: RolfSteilGiengerICDL2010.pdf (1.98 MB)
C
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.
Reinhart, F. R., and J. J. Steil, "A constrained regularization approach for input-driven recurrent neural networks", Differential Equations and Dynamical Systems, In Press.  Download: ReinhartSteil-DEDS2009draft.pdf (625.22 KB)
Haschke, R., J. J. Steil, and H. Ritter, "Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs", Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), Wien, Austria, 2001.
D
Weng, S., and J. J. Steil, "Data Driven Generation of Interactions for Feature Bindingand Relaxation Labeling", Proc. ICANN, pp. 432-437, 2002.
Ritter, H., R. Haschke, and J. J. Steil, "A Dual Interaction Perspective for Robot Cognition: Grasping as a “Rosetta Stone”", Perspectives of Neural-Symbolic Integration: Springer, 2007.  Download: RitterSteilHaschkePerspective.pdf (165.05 KB)
Klanke, S., D. Lebedev, R. Haschke, J. J. Steil, and H. Ritter, "Dynamic Path Planning for a 7-DOF Robot Arm", Proc. IROS 2006: IEEE, pp. 3879-3884, Oct, 2006.
Lebedev, D., J. J. Steil, and H. Ritter, "The dynamic wave expansion neural network model for robot motion planning in time-varying environments", Neural Networks, vol. 18, pp. 267-285, 2005.
E
Rolf, M., J. J. Steil, and M. Gienger, "Efficient Exploration and Learning of whole Body Kinematics", International Workshop on Robotics for Young Researchers, Boston, MA, USA, 03/2009.
Rolf, M., J. J. Steil, and M. Gienger, "Efficient exploration and learning of whole body kinematics", IEEE 8th International Conference on Development and Learning (ICDL 2009), Shanghai, CH, 06/2009.  Download: RolfSteilGiengerICDL2009.pdf (732.14 KB)
Lemme, A., F. R. Reinhart, and J. J. Steil, "Efficient online learning of a non-negative sparse autoencoder", ESANN, Bruges, d-facto, pp. 1-6, April 2010.  Download: LemmeReinhartSteil-ESANN2010.pdf (2.75 MB)
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Denecke, A., I. Ayllon Clemente, H. Wersing, J. Eggert, and J. J. Steil, "Figure-ground segmentation using metrics adaptation in levelset methods", ESANN, Bruges, d-facto, pp. 417-422, 04/2010.  Download: DeneckeEtAlESANN2010_draft.pdf (254.25 KB)
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Ritter, H., S. Weng, J. Ontrup, and J. J. Steil, "Gestalt Formation in a Competitive Layered Neural Architecture", Networks: From Biology to Theroy: Springer, pp. 169-191, 2006.
Pardowitz, M., R. Haschke, J. J. Steil, and H. Ritter, "Gestalt-Based Action Segmentation for Robot Task Learning", IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS), Daejon, Korea, 2008. Abstract
Rolf, M., J. J. Steil, and M. Gienger, "Goal babbling permits direct learning of inverse Kinematics", IEEE Trans. Autonomous Mental Development, In Press.
Reinhart, F. R., and J. J. Steil, "Goal-directed movement generation with a transient-based recurrent neural network controller", Advanced Technologies for Enhanced Quality of Life: IEEE Computer Society, pp. 112-117, 2009.  Download: ReinhartSteilLabRS2009.pdf (1.15 MB)
Steil, J. J., G. C. Cawley, and T. Villmann, "Guest Editorial:Trends in Neurocomputing at ESANN 2004", Neurocomputing, vol. 64C, pp. 1-4, 2005.