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Heiko Wersing

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2008
26EEHeiko Wersing, Stephan Kirstein, Bernd Schneiders, Ute Bauer-Wersing, Edgar Körner: Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture. ICVS 2008: 383-392
2007
25EEStephan Hasler, Heiko Wersing, Edgar Körner: A Comparison of Features in Parts-Based Object Recognition Hierarchies. ICANN (2) 2007: 210-219
24EEXavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick: Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151
23EEJochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge Ritter: Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing 70(7-9): 1235-1246 (2007)
2006
22EEMichael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge Ritter: Adaptive scene-dependent filters in online learning environments. ESANN 2006: 101-106
21EEJochen J. Steil, Heiko Wersing: Recent trends in online learning for cognitive robots. ESANN 2006: 77-87
20EEHeiko 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. ICANN (2) 2006: 508-517
19EESebastian Weng, Heiko Wersing, Jochen J. Steil, Helge Ritter: Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. IEEE Transactions on Neural Networks 17(4): 843-862 (2006)
2005
18EEVineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing: Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation 2005: 2691-2698
17EEStephan Kirstein, Heiko Wersing, Edgar Körner: Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. DAGM-Symposium 2005: 301-308
16EEStephan Hasler, Heiko Wersing, Edgar Körner: Class-Specific Sparse Coding for Learning of Object Representations. ICANN (1) 2005: 475-480
15EEStephan Kirstein, Heiko Wersing, Edgar Körner: Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. ICANN (1) 2005: 487-492
14EEGeorg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner: Evolutionary optimization of a hierarchical object recognition model. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(3): 426-437 (2005)
2004
13EEGeorg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner: Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN 2004: 662-671
2003
12EEHeiko Wersing, Julian Eggert, Edgar Körner: Sparse Coding with Invariance Constraints. ICANN 2003: 385-392
11EEHeiko Wersing, Edgar Körner: Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. Neural Computation 15(7): 1559-1588 (2003)
2002
10EEHeiko Wersing, Edgar Körner: Unsupervised Learning of Combination Features for Hierarchical Recognition Models. ICANN 2002: 1225-1230
9EETim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter: A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48(1-4): 357-367 (2002)
2001
8EEHeiko Wersing, Helge Ritter: Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. ICANN 2001: 799-805
7EEHeiko Wersing: Learning Lateral Interactions for Feature Binding and Sensory Segmentation. NIPS 2001: 1009-1016
6 Heiko Wersing, Jochen J. Steil, Helge Ritter: A Competitive-Layer Model for Feature Binding and Sensory Segmentation. Neural Computation 13(2): 357-387 (2001)
5 Heiko Wersing, Wolf-Jürgen Beyn, Helge Ritter: Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. Neural Computation 13(8): 1811-1825 (2001)
2000
4EETim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter: A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN 2000: 177-182
3EETim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert: Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) 2000: 348-353
1999
2EEHeiko Wersing, Helge Ritter: Feature binding and relaxation labeling with the competitive layer model. ESANN 1999: 295-300
1997
1 Heiko Wersing, Jochen J. Steil, Helge Ritter: A Layered Recurrent Neural Network for Feature Grouping. ICANN 1997: 439-444

Coauthor Index

1Ute Bauer-Wersing [26]
2Wolf-Jürgen Beyn [5]
3Holger Brandl [20]
4Xavier Domont [24]
5Mark Dunn [20]
6Julian Eggert [12]
7Christian Goerick [20] [24]
8Michael Götting [20] [22] [23]
9Stephan Hasler [16] [25]
10Martin Heckmann [24]
11Yaochu Jin [18]
12Frank Joublin [24]
13Vineet R. Khare [18]
14Stephan Kirstein [15] [17] [20] [26]
15Edgar Körner [10] [11] [12] [13] [14] [15] [16] [17] [20] [22] [23] [25] [26]
16Stefan Menzel [24]
17Inna Mikhailova [20]
18Tim W. Nattkemper [3] [4] [9]
19Helge Ritter [1] [2] [3] [4] [5] [6] [8] [9] [19] [20] [22] [23]
20Georg Schneider [13] [14]
21Bernd Schneiders [26]
22Walter Schubert [3] [4] [9]
23Bernhard Sendhoff [13] [14] [18] [24]
24Jochen J. Steil [1] [6] [19] [20] [21] [22] [23]
25Sebastian Weng [19]
26Xin Yao [18]

Copyright © Thu Jun 5 07:42:39 2008 by Michael Ley (ley@uni-trier.de)