2009 |
33 | EE | 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 |
32 | EE | Alexander Denecke,
Heiko Wersing,
Jochen J. Steil,
Edgar Körner:
Robust object segmentation by adaptive metrics in Generalized LVQ.
ESANN 2008: 319-324 |
31 | EE | 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 | EE | 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 | EE | 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 | EE | Xavier Domont,
Martin Heckmann,
Heiko Wersing,
Frank Joublin,
Christian Goerick:
A hierarchical model for syllable recognition.
ESANN 2007: 573-578 |
27 | EE | Stephan Hasler,
Heiko Wersing,
Edgar Körner:
A Comparison of Features in Parts-Based Object Recognition Hierarchies.
ICANN (2) 2007: 210-219 |
26 | EE | 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 | EE | 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 | EE | Stephan Hasler,
Heiko Wersing,
Edgar Körner:
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding.
Neural Computation 19(7): 1897-1918 (2007) |
23 | EE | 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 | EE | Michael Götting,
Jochen J. Steil,
Heiko Wersing,
Edgar Körner,
Helge Ritter:
Adaptive scene-dependent filters in online learning environments.
ESANN 2006: 101-106 |
21 | EE | Jochen J. Steil,
Heiko Wersing:
Recent trends in online learning for cognitive robots.
ESANN 2006: 77-87 |
20 | EE | 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 | EE | 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 | EE | 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 | EE | Stephan Kirstein,
Heiko Wersing,
Edgar Körner:
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture.
DAGM-Symposium 2005: 301-308 |
16 | EE | Stephan Hasler,
Heiko Wersing,
Edgar Körner:
Class-Specific Sparse Coding for Learning of Object Representations.
ICANN (1) 2005: 475-480 |
15 | EE | Stephan Kirstein,
Heiko Wersing,
Edgar Körner:
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model.
ICANN (1) 2005: 487-492 |
14 | EE | 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 | EE | 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 | EE | Heiko Wersing,
Julian Eggert,
Edgar Körner:
Sparse Coding with Invariance Constraints.
ICANN 2003: 385-392 |
11 | EE | Heiko Wersing,
Edgar Körner:
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition.
Neural Computation 15(7): 1559-1588 (2003) |
2002 |
10 | EE | Heiko Wersing,
Edgar Körner:
Unsupervised Learning of Combination Features for Hierarchical Recognition Models.
ICANN 2002: 1225-1230 |
9 | EE | 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 | EE | Heiko Wersing,
Helge Ritter:
Using Maximal Recurrence in Linear Threshold Competitive Layer Networks.
ICANN 2001: 799-805 |
7 | EE | 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 | EE | Tim W. Nattkemper,
Heiko Wersing,
Walter Schubert,
Helge Ritter:
A neural network architecture for automatic segmentation of fluorescence micrographs.
ESANN 2000: 177-182 |
3 | EE | Tim W. Nattkemper,
Heiko Wersing,
Helge Ritter,
Walter Schubert:
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding.
IJCNN (1) 2000: 348-353 |
1999 |
2 | EE | 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 |