The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Jochen J. Steil: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge Ritter
    Adaptive scene-dependent filters in online learning environments. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:101-106 [Conf]
  2. Barbara Hammer, Jochen J. Steil
    Perspectives on learning with recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:357-368 [Conf]
  3. Robert Haschke, Jochen J. Steil
    Input Space Bifurcation Manifolds of RNNs. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:13-18 [Conf]
  4. Jochen J. Steil
    Neural dynamics for task-oriented grouping of communicating agents. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:531-536 [Conf]
  5. Jochen J. Steil
    Stability of backpropagation-decorrelation efficient O(N) recurrent learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:43-48 [Conf]
  6. Jochen J. Steil, Risto Koiva, Alessandro Sperduti
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:1-6 [Conf]
  7. Jochen J. Steil, Helge Ritter
    Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:370-374 [Conf]
  8. Jochen J. Steil, Heiko Wersing
    Recent trends in online learning for cognitive robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:77-87 [Conf]
  9. Ulf D. Schiller, Jochen J. Steil
    On the weight dynamics of recurrent learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:73-78 [Conf]
  10. Jochen J. Steil
    Local input-output stability of recurrent networks with time-varying weights. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:281-286 [Conf]
  11. Gernot A. Fink, Jannik Fritsch, Nadine Leßmann, Helge Ritter, Gerhard Sagerer, Jochen J. Steil, Ipke Wachsmuth
    Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung (2), 2003, pp:29-44 [Conf]
  12. Robert Haschke, Jochen J. Steil, Helge Ritter
    Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1109-1114 [Conf]
  13. Jochen J. Steil
    Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:649-654 [Conf]
  14. Sebastian Weng, Jochen J. Steil
    Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:432-437 [Conf]
  15. Sebastian Weng, Jochen J. Steil
    Learning Compatibility Functions for Feature Binding and Perceptual Grouping. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:60-67 [Conf]
  16. Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge Ritter, Edgar Körner
    A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:508-517 [Conf]
  17. Heiko Wersing, Jochen J. Steil, Helge Ritter
    A Layered Recurrent Neural Network for Feature Grouping. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:439-444 [Conf]
  18. Dmitry V. Lebedev, Jochen J. Steil, Helge Ritter
    A neural network model that calculates dynamic distance transform for path planning and exploration in a changing environment. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:4209-4214 [Conf]
  19. Jochen J. Steil
    Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:260-265 [Conf]
  20. Jochen J. Steil, Helge Ritter
    Input-Output Stability of Recurrent Neural Networks with Delays Using Circle Criteria. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:519-525 [Conf]
  21. Helge Ritter, Jochen J. Steil, Claudia Nölker, Frank Röthling, Patrick C. McGuire
    Neural Architectures for Robot Intelligence [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  22. Robert Haschke, Jochen J. Steil
    Input space bifurcation manifolds of recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:25-38 [Journal]
  23. Ulf D. Schiller, Jochen J. Steil
    Analyzing the weight dynamics of recurrent learning algorithms. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:5-23 [Journal]
  24. Jochen J. Steil
    Local stability of recurrent networks with time-varying weights and inputs. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:39-51 [Journal]
  25. Jochen J. Steil
    Online stability of backpropagation-decorrelation recurrent learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:642-650 [Journal]
  26. Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi
    New Issues in Neurocomputing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:625-626 [Journal]
  27. Jochen J. Steil, Gavin C. Cawley, Thomas Villmann
    Trends in Neurocomputing at ESANN 2004. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:1-4 [Journal]
  28. Heiko Wersing, Jochen J. Steil, Helge Ritter
    A Competitive-Layer Model for Feature Binding and Sensory Segmentation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:2, pp:357-387 [Journal]
  29. Dmitry V. Lebedev, Jochen J. Steil, Helge Ritter
    The dynamic wave expansion neural network model for robot motion planning in time-varying environments. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:3, pp:267-285 [Journal]
  30. Jochen J. Steil, Frank Röthling, Robert Haschke, Helge Ritter
    Situated robot learning for multi-modal instruction and imitation of grasping. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:129-141 [Journal]
  31. Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge Ritter
    Adaptive scene dependent filters for segmentation and online learning of visual objects. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1235-1246 [Journal]
  32. Jochen J. Steil
    Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:3, pp:353-364 [Journal]

  33. Intrinsic plasticity for reservoir learning algorithms. [Citation Graph (, )][DBLP]


  34. Several ways to solve the MSO problem. [Citation Graph (, )][DBLP]


  35. Robust object segmentation by adaptive metrics in Generalized LVQ. [Citation Graph (, )][DBLP]


  36. Task-level imitation learning using variance-based movement optimization. [Citation Graph (, )][DBLP]


  37. Learning Inverse Kinematics for Pose-Constraint Bi-manual Movements. [Citation Graph (, )][DBLP]


  38. Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand. [Citation Graph (, )][DBLP]


  39. Dynamic Path Planning for a 7-DOF Robot Arm. [Citation Graph (, )][DBLP]


  40. Automatic selection of task spaces for imitation learning. [Citation Graph (, )][DBLP]


  41. Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. [Citation Graph (, )][DBLP]


  42. Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks [Citation Graph (, )][DBLP]


Search in 0.017secs, Finished in 0.018secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002