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Heiko Wersing: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stephan Kirstein, Heiko Wersing, Edgar Körner
    Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2005, pp:301-308 [Conf]
  2. 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]
  3. Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter
    A neural network architecture for automatic segmentation of fluorescence micrographs. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:177-182 [Conf]
  4. Jochen J. Steil, Heiko Wersing
    Recent trends in online learning for cognitive robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:77-87 [Conf]
  5. Heiko Wersing, Helge Ritter
    Feature binding and relaxation labeling with the competitive layer model. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:295-300 [Conf]
  6. Stephan Hasler, Heiko Wersing, Edgar Körner
    Class-Specific Sparse Coding for Learning of Object Representations. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:475-480 [Conf]
  7. Stephan Kirstein, Heiko Wersing, Edgar Körner
    Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:487-492 [Conf]
  8. Heiko Wersing, Julian Eggert, Edgar Körner
    Sparse Coding with Invariance Constraints. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:385-392 [Conf]
  9. Heiko Wersing, Edgar Körner
    Unsupervised Learning of Combination Features for Hierarchical Recognition Models. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1225-1230 [Conf]
  10. 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]
  11. Heiko Wersing, Helge Ritter
    Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:799-805 [Conf]
  12. 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]
  13. Tim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert
    Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:348-353 [Conf]
  14. Heiko Wersing
    Learning Lateral Interactions for Feature Binding and Sensory Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1009-1016 [Conf]
  15. Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
    Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:662-671 [Conf]
  16. Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter
    A neural network architecture for automatic segmentation of fluorescence micrographs. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:357-367 [Journal]
  17. Heiko Wersing, Wolf-Jürgen Beyn, Helge Ritter
    Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:8, pp:1811-1825 [Journal]
  18. Heiko Wersing, Edgar Körner
    Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:7, pp:1559-1588 [Journal]
  19. 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]
  20. Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
    Evolutionary optimization of a hierarchical object recognition model. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:3, pp:426-437 [Journal]
  21. Stephan Hasler, Heiko Wersing, Edgar Körner
    A Comparison of Features in Parts-Based Object Recognition Hierarchies. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:210-219 [Conf]
  22. Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
    Co-evolutionary modular neural networks for automatic problem decomposition. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2691-2698 [Conf]
  23. 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]

  24. A hierarchical model for syllable recognition. [Citation Graph (, )][DBLP]


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


  26. Correlating Shape and Functional Properties Using Decomposition Approaches. [Citation Graph (, )][DBLP]


  27. Large-Scale Real-Time Object Identification Based on Analytic Features. [Citation Graph (, )][DBLP]


  28. Learning Invariant Visual Shape Representations from Physics. [Citation Graph (, )][DBLP]


  29. A Vector Quantization Approach for Life-Long Learning of Categories. [Citation Graph (, )][DBLP]


  30. An Integrated System for Incremental Learning of Multiple Visual Categories. [Citation Graph (, )][DBLP]


  31. Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture. [Citation Graph (, )][DBLP]


  32. Unsupervised extraction of design components for a 3D parts-based representation. [Citation Graph (, )][DBLP]


  33. Word Recognition with a Hierarchical Neural Network. [Citation Graph (, )][DBLP]


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


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