Heiko Wersing

	2009
39		Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner: Large-Scale Real-Time Object Identification Based on Analytic Features. ICANN (2) 2009: 663-672
38		Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner: Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. WSOM 2009: 45-53
37		Julian Eggert, Heiko Wersing: Approaches and Challenges for Cognitive Vision Systems. Creating Brain-Like Intelligence 2009: 215-247
36		Kenji Hosoda, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita: A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization. Neural Computation 21(9): 2605-2633 (2009)
35		Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner: Online figure-ground segmentation with adaptive metrics in generalized LVQ. Neurocomputing 72(7-9): 1470-1482 (2009)
	2008
34		Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner: Robust object segmentation by adaptive metrics in Generalized LVQ. ESANN 2008: 319-324
33		Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner: A Vector Quantization Approach for Life-Long Learning of Categories. ICONIP (1) 2008: 805-812
32		Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner: An Integrated System for Incremental Learning of Multiple Visual Categories. ICONIP (1) 2008: 813-820
31		Heiko 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
30		Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel: Unsupervised extraction of design components for a 3D parts-based representation. IJCNN 2008: 2009-2016
29		Stephan Kirstein, Heiko Wersing, Edgar Körner: A biologically motivated visual memory architecture for online learning of objects. Neural Networks 21(1): 65-77 (2008)
	2007
28		Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick: A hierarchical model for syllable recognition. ESANN 2007: 573-578
27		Stephan Hasler, Heiko Wersing, Edgar Körner: A Comparison of Features in Parts-Based Object Recognition Hierarchies. ICANN (2) 2007: 210-219
26		Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick: Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151
25		Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge Ritter, Edgar Körner: Online Learning of Objects in a Biologically Motivated Visual Architecture. Int. J. Neural Syst. 17(4): 219-230 (2007)
24		Stephan Hasler, Heiko Wersing, Edgar Körner: Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. Neural Computation 19(7): 1897-1918 (2007)
23		Jochen 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
22		Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge Ritter: Adaptive scene-dependent filters in online learning environments. ESANN 2006: 101-106
21		Jochen J. Steil, Heiko Wersing: Recent trends in online learning for cognitive robots. ESANN 2006: 77-87
20		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. ICANN (2) 2006: 508-517
19		Sebastian 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
18		Vineet 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
17		Stephan Kirstein, Heiko Wersing, Edgar Körner: Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. DAGM-Symposium 2005: 301-308
16		Stephan Hasler, Heiko Wersing, Edgar Körner: Class-Specific Sparse Coding for Learning of Object Representations. ICANN (1) 2005: 475-480
15		Stephan Kirstein, Heiko Wersing, Edgar Körner: Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. ICANN (1) 2005: 487-492
14		Georg 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
13		Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner: Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN 2004: 662-671
	2003
12		Heiko Wersing, Julian Eggert, Edgar Körner: Sparse Coding with Invariance Constraints. ICANN 2003: 385-392
11		Heiko Wersing, Edgar Körner: Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. Neural Computation 15(7): 1559-1588 (2003)
	2002
10		Heiko Wersing, Edgar Körner: Unsupervised Learning of Combination Features for Hierarchical Recognition Models. ICANN 2002: 1225-1230
9		Tim 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
8		Heiko Wersing, Helge Ritter: Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. ICANN 2001: 799-805
7		Heiko 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
4		Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter: A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN 2000: 177-182
3		Tim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert: Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) 2000: 348-353
	1999
2		Heiko 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

1	Ute Bauer-Wersing	[31]
2	Wolf-Jürgen Beyn	[5]
3	Zdravko Bozakov	[30]
4	Holger Brandl	[20] [25]
5	Alexander Denecke	[34] [35] [38]
6	Xavier Domont	[26] [28]
7	Mark Dunn	[20] [25]
8	Julian Eggert	[12] [37]
9	Ichiro Fujita	[36]
10	Christian Goerick	[20] [25] [26] [28]
11	Michael Götting	[20] [22] [23] [25]
12	Lars Gräning	[30]
13	Horst-Michael Groß (Horst-Michael Gross)	[32] [33]
14	Stephan Hasler	[16] [24] [27] [30] [39]
15	Martin Heckmann	[26] [28]
16	Kenji Hosoda	[36]
17	Yaochu Jin	[18]
18	Frank Joublin	[26] [28]
19	Vineet R. Khare	[18]
20	Stephan Kirstein	[15] [17] [20] [25] [29] [31] [32] [33] [39]
21	Edgar Körner	[10] [11] [12] [13] [14] [15] [16] [17] [20] [22] [23] [24] [25] [27] [29] [31] [32] [33] [34] [35] [36] [38] [39]
22	Stefan Menzel	[26] [30]
23	Inna Mikhailova	[20] [25]
24	Tim W. Nattkemper	[3] [4] [9]
25	Helge Ritter	[1] [2] [3] [4] [5] [6] [8] [9] [19] [20] [22] [23] [25]
26	Georg Schneider	[13] [14]
27	Bernd Schneiders	[31]
28	Walter Schubert	[3] [4] [9]
29	Bernhard Sendhoff	[13] [14] [18] [26]
30	Jochen J. Steil	[1] [6] [19] [20] [21] [22] [23] [25] [34] [35] [38]
31	Hiroshi Tamura	[36]
32	Hiroshi Tsujino	[36]
33	Masataka Watanabe	[36]
34	Sebastian Weng	[19]
35	Xin Yao	[18]