Ruhr-Universität Bochum [Ruhr-Universität Bochum]
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Systembiophysik - Veröffentlichungen

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Lehrstühle
• Prof. Dr. Laurenz Wiskott
• Prof. Dr. Gregor Schöner

Arbeitsgruppen
• Theoretische Verhaltenswissenschaft
Prof. Dr. Gregor Schöner
• Theory of Neural Systems
Prof. Dr. Laurenz Wiskott
• Neural Plasticity Lab
PD Dr. Hubert Dinse
• Real-Time Optical Imaging Lab
Dr. Dirk Jancke
• Organic Computing
Dr. Rolf Würtz
• Optimierung adaptiver Systeme
Jun.-Prof. Dr. Christian Igel
• Autonome Robotik
Dr. Ioannis Iossifidis
• Medizinische Bildverarbeitung
Dr. Susanne Winter
• Echtzeitfähige Bildverarbeitung
Jan Salmen
• Fusion multipler Sensordaten
Dr. Andrey Bogdanov

1
M. K. Apostolos, H. Hong, H. Neven, and C. v. d. Malsburg.
Expression and gesture : Developing a human-machine interface.
In COPIMERA´97, Santiago de Chile, 1997.
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2
G. Bacenstoss, S. Charalambus, H. Daniel, C. von der Malsburg, G. Poelz, H. P. Povel, H. Schmitt, and L. Tauscher.
Measurement of the vacuum polarization in muonic atoms (pdf).
Physics Letters, 31B:233-236, February 1970.
[top]
3
G. Backenstoss, S. Charalambus, H. Daniel, W. D. Hamilton, U. Lynen, C. von der Malsburg, G. Poelz, and H. P. Povel.
Nuclear Gamma-Rays following muon capture (pdf).
Nuclear Physics, A162:541-551, 1971.
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4
G. Backenstoss, H. Daniel, H. Koch, U. Lynen, C. von der Malsburg, G. Poelz, H. P. Povel, H. Schmitt, K. Springer, and L. Tauscher.
New determination of the pi^- and ny_my masses (pdf).
Physics Letters, 36B(4):403-408, September 1971.
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5
G. Backenstoss, H. Daniel, H. Koch, C. von der Malsburg, G. Poelz, H. P. Povel, H. Schmitt, and L. Tauscher.
Pi^- -mass and vacuum polarizatzion. A re-evaluation (pdf).
Physics Letters, 43B(6):539-541, March 1973.
[top]
6
M. Barwinski.
A neurocomputational model of memory acquisition for novel faces (pdf).
PhD thesis, Ruhr-University Bochum, 2008.
[top]
7
M. Barwinski and R. P. Würtz.
A sequence-encoding neural network for face recognition (pdf).
In M. Verleysen, editor, Proceedings of ESANN, Bruges, Belgium, pages 635-640. d-side publications, Evere, Belgium, 2006.
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8
M. Becker, E. Kefalea, E. Maël, C. von der Malsburg, M. Pagel, J. Triesch, J. C. Vorbrüggen, R. P. Würtz, and S. Zadel.
The GripSee project: A gesture-controlled robot for learning and using object representations (pdf).
In B. Hildebrandt, R. Moratz, and C. Scheering, editors, Architectures in Cognitive Robotics, Report 98/13 Situierte Künstliche Kommunikatoren, SFB 360, pages 3-10. 1998.
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9
M. Becker, E. Kefalea, E. Maël, C. von der Malsburg, M. Pagel, J. Triesch, J. C. Vorbrüggen, R. P. Würtz, and S. Zadel.
The GripSee project: A gesture-controlled robot for learning and using object representations (ps, pdf).
1998.
Abstract for the workshop on Cognitive Robotics at KI ´98, Bremen, Germany.
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10
M. Becker, E. Kefalea, E. Maël, C. von der Malsburg, M. Pagel, J. Triesch, J. C. Vorbrüggen, R. P. Würtz, and S. Zadel.
GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation (pdf).
Autonomous Robots, 6(2):203-221, 1999.
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11
M. Becker, E. Kefalea, E. Maël, C. von der Malsburg, M. Pagel, J. Triesch, J. C. Vorbrüggen, and S. Zadel.
Gripsee: A robot for visually-guided grasping (ps, pdf).
In Proceedings of ICANN International Conference on Artificial Neural Networks, Skövde,Sweden, September 1998.
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12
K.-O. Behrmann.
Leistungsuntersuchungen des "Dynamischen Link-Matchings" und Vergleich mit dem Kohonen-Algorithmus (ps).
Internal Report IRINI 93-05, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Sept. 1993.
Diplomarbeit.
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13
K. Bellman, P. Hofmann, C. Müller-Schloer, H. Schmeck, and R. Würtz.
06031 abstracts collection - organic computing - controlled emergence (pdf).
In K. Bellman, P. Hofmann, C. Müller-Schloer, H. Schmeck, and R. Würtz, editors, Organic Computing - Controlled Emergence, number 06031 in Dagstuhl Seminar Proceedings. Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany, 2006.
[top]
14
E. Bienenstock and C. von der Malsburg.
A Neural Network for Invariant Pattern Recognition (pdf).
Europhysics Letters, 4:121-126, 1987.
[top]
15
G. Bodenstein, W. Schneider, and C. von der Malsburg.
Computerized EEG pattern classification by adaptive segmentation and probability-density-function classification. Description of the method (pdf).
Comp. in Biol. & Med., 15:297-313, 1985.
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16
S. Böhringer, G. Gillessen-Kaesbach, A. Tewes, H. S. Loos, R. P. Würtz, B. Horsthemke, and D. Wieczorek.
Computer-based classification results on an extensive set of dysmorphic faces.
American Journal of Human Genetics, 73(5):183, 2003.
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17
S. Böhringer, T. Vollmar, C. Tasse, R. Würtz, G. Gillessen-Kaesbach, B. Horsthemke, and D. Wieczorek.
Syndrome identification based on 2D analysis software (pdf).
European Journal of Human Genetics, 14(10):1082-1089, 2006.
Advance online publication, 14 June 2006 (DOI 10.1038/sj.ejhg.5201673).
[top]
18
S. Böhringer, T. Vollmar, C. Tasse, R. P. Würtz, D. Wieczorek, and B. Horsthemke.
Bringing into shape complex phenotypes: Methods to exploit intertwining between monogenic and complex genetic contributions for a single phenotype.
Genetic Epidemiology, 29:238, 2005.
[top]
19
B. Bolder.
Coordination of an Artificial Visual System with Biological Models (pdf).
PhD thesis, 2005.
published by Shaker Verlag, Germany.
[top]
20
J. D. Bouecke.
Lernen von Merkmalsnachbarschaften in einem Netzwerk kortikaler Kolumnen zum Korrespondenzfinden in Bildern (pdf, ps).
Internal Report IRINI 2006-04, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, oct 2006.
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21
U. Brinkschulte, J. Becker, D. Fey, C. Hochberger, T. Martinetz, C. Müller-Schloer, H. Schmeck, T. Ungerer, and R. Würtz, editors.
ARCS 2005 - System Aspects in Organic and Pervasive Computing - Workshops Procedeedings, Innsbruck Austria, March 14-17. VDE Verlag, Berlin, Offenbach, 2005.
[top]
22
K. Brünenberg.
Untersuchungen zur Beleuchtungsabhaengigkeit am Beipiel der Gesichtserkennung (ps, pdf).
Internal Report IRINI 99-07, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 1999.
Diplomarbeit.
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23
K. Brünenberg.
Investigations on illumination dependency regarding the face recognition problem (ps, pdf).
Internal Report IRINI 2001-04, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Apr. 2001.
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24
J. Buhmann, M. Lades, and C. von der Malsburg.
Size and distortion invariant object recognition by hierarchical graph matching (pdf).
In Proceedings of the IJCNN International Joint Conference on Neural Networks, pages II 411-416, San Diego, June 1990. IEEE.
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25
J. Buhmann, J. Lange, C. v.d.Malsburg, J. C. Vorbrüggen, and R. P. Würtz.
Object recognition with gabor functions in the dynamic link architecture -- parallel implementation on a transputer network-- (pdf).
In B. Kosko, editor, Neural Networks for Signal Processing, pages 121-159. Prentice Hall, Englewood Cliffs, NJ, 1991.
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26
J. Buhmann, J. Lange, and C. von der Malsburg.
Distortion invariant object recognition by matching hierarchically labeled graphs (pdf).
In IJCNN International Conference on Neural Networks, Washington, pages I 155-159. IEEE, 1989.
[top]
27
J. Buhmann and C. von der Malsburg.
Sensory segmentation by neural oscillators (pdf).
In Proceedings IJCNN, Seattle, 1991.
[top]
28
T. Burwick.
Oscillatory networks: Pattern recognition without a superposition problem (pdf).
Neural Computation, 18:356-380, 2006.
[top]
29
T. Burwick.
Oscillatory Neural Networks with Self-Organized Segmentation of Overlapping Patterns (pdf).
Neural Comp., 19:2093-2123, 2007.
[top]
30
T. Burwick.
Temporal Coding: Assembly Formation Through Constructive Interference (pdf).
Neural Comp., 20(7):1796-1820, 2008.
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31
S. Chandrashekhar, C. von der Malsburg, and R. Chellappa.
Recursive tracking of image points using labelled graph matching (pdf).
In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Charlottesville, Virginia, Oct. 1991.
[top]
32
J. D. Cowan and C. von der Malsburg.
A proposed mechanism for the origin and development of iso-orientation columns (pdf).
In V. Dobson and D. Rose, editors, Models of the Visual Cortex, pages 462-472. Wiley, Sussex, 1985.
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33
L. De Maeyer, A. Di Nicola, R. Maetche, L. Wiskott, and C. von der Malsburg.
An experimental multiprocessor system for distributed parallel computations (pdf).
Micropocessing and Microprogramming, 26:623, 1990.
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34
G. S. Donatti and R. P. Würtz.
Memory Organization for Invariant Object Recognition and Categorization (pdf).
In Posters Proceedings SIBGRAPI, Belo Horizonte, Brasil, pages 11-12, 2007.
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35
R. Doursat, W. Konen, M. Lades, C. von der Malsburg, J. C. Vorbrüggen, L. Wiskott, and R. P. Würtz.
Neural mechanisms of elastic pattern matching (title, body).
Internal Report IRINI 93-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Jan. 1993.
also Statusseminar des BMFT Neuroinformatik, Oktober 1992, Schloß Maurach, 71-82.
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36
C. Eckes.
Integration daten- und modellgetriebener Segmentierung fuer natuerliche Bilder (ps).
Internal Report IRINI 97-06, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Mar. 1997.
[top]
37
C. Eckes and B. Fritzke.
Classification of sea-ice with neural networks - results of the EU research project ICE ROUTES (ps, pdf).
Internal Report IRINI 2001-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Mar. 2001.
[top]
38
C. Eckes, J. Triesch, and C. von der Malsburg.
Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images (pdf).
Neural Computation, 18:1441-1471, 2006.
[top]
39
C. Eckes and J. C. Vorbrüggen.
Combining data-driven and model-based cues for segmentation of video sequences (ps, pdf).
In Proceedings WCNN96, pages 868-875, San Diego, CA, USA, 16-18 September, 1996. INNS Press & Lawrence Erlbaum Ass.
[top]
40
R. Eckmiller and C. von der Malsburg, editors.
Neural Computers, volume 41 of NATO ASI Series F: Computer and Systems Sciences.
Springer, Berlin, 1988.
[top]
41
J.-M. Fellous, L. Wiskott, N. Krüger, and C. von der Malsburg.
Face recognition by elastic bunch graph matching.
In Proc. Intern. Conf. on Vision, Recognition, Action: Neural Models of Mind and Machine. Boston University, USA, May 1997.
[top]
42
B. Freese.
Statistisches Lernen von Bildmerkmalen (ps).
Internal Report IRINI 97-20, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 1997.
[top]
43
B. Fritzke.
Fast learning with incremental RBF networks (ps, pdf).
Neural Processing Letters, 1(1):2-5, 1994.
[top]
44
B. Fritzke.
Growing cell structures - a self-organizing network for unsupervised and supervised learning.
Neural Networks, 7(9):1441-1460, 1994.
[top]
45
B. Fritzke.
Making hard problems linearly separable - incremental radial basis function approaches (ps, pdf).
In M. Marinaro and P. G. Morasso, editors, ICANN´94: International Conference on Artificial Neural Networks, pages 455-458, Sorrento, Italy, 1994. Springer.
[top]
46
B. Fritzke.
Supervised learning with growing cell structures (ps, pdf).
In J. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 255-262. Morgan Kaufmann Publishers, San Mateo, CA, 1994.
[top]
47
B. Fritzke.
Growing grid - a self-organizing network with constant neighborhood range and adaptation strength (ps, pdf).
Neural Processing Letters, 2(5):9-13, 1995.
[top]
48
B. Fritzke.
A growing neural gas network learns topologies (ps, pdf).
In G. Tesauro, D. S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processing Systems 7, pages 625-632. MIT Press, Cambridge MA, 1995.
[top]
49
B. Fritzke.
Incremental learning of local linear mappings (ps, pdf).
In F. Fogelman, editor, ICANN´95: International Conference on Artificial Neural Networks, pages 217-222, Paris, France, 1995. EC2 & Cie.
[top]
50
B. Fritzke.
Growing self-organizing networks - why? (ps, pdf).
In ESANN´96: European Symposium on Artificial Neural Networks, pages 61-72, 1996.
[top]
51
B. Fritzke.
Transforming hard problems into linearly separable ones with incremental radial basis function networks (ps, pdf).
In M. van der Heyden, J. Mrsic-Flögel, and K. Weigel, editors, HELNET International Workshop on Neural Networks, pages 54-63, Amsterdam, 1996. VU University Press.
[top]
52
B. Fritzke.
Unsupervised ontogenetic networks (pdf).
In E. Fiesler and R. Beale, editors, Handbook of Neural Computation. Institute of Physics Publishing and Oxford University Press, 1996.
[top]
53
B. Fritzke.
Incremental neuro-fuzzy systems (ps, pdf).
In Applications of soft computing, SPIE International Conference, 1997.
(to appear).
[top]
54
B. Fritzke.
The LBG-U method for vector quantization - an improvement over LBG inspired from neural networks (ps, pdf).
Neural Processing Letters, 5(1):35-45, 1997.
[top]
55
B. Fritzke.
The lbg-u method for vector quantization - an improvement over lbg inspired from neural networks. (ps).
Internal Report IRINI 97-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Jan. 1997.
[top]
56
B. Fritzke.
A self-organizing network that can follow non-stationary distributions (ps, pdf).
In ICANN´97: International Conference on Artificial Neural Networks, pages 613-618. Springer, 1997.
[top]
57
N. Futamura, K. Okada, S. Akamatsu, K. Mori, and Y. Suenaga.
An ICA based Representation of Facial Images and its Application for Face Recognition Systems (ps).
In Proceedings of IEICE workshop of Pattern Recognition and Media Understanding (PRMU99-180), pages 21-28, Ehime, December 1999.
(in japanese).
[top]
58
A. Garstka.
Erweiterung eines auf Wavelets basierenden Erkennungsalgorithmus auf teilverdeckte Objekte (ps, pdf).
Internal Report IRINI 2002-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 2002.
[top]
59
J. L. Gaudiot, S. Shams, and C. von der Malsburg.
A data-flow implementation of a neurocomputer for pattern recognition applications.
In Proc. of the 1988 Aerospace Applications of Artificial Intelligence Conference, Dayton, Ohio, Oct. 1988.
[top]
60
A. Grabska-Barwinska and J. Zygierewicz.
A model of event-related eeg synchronization changes in beta and gamma frequency bands (pdf).
Journal of Theoretical Biology, pages 901-913, 2006.
[top]
61
M. Günther and R. P. Würtz.
Face Detection and Recognition Using Maximum Likelihood Classifiers on Gabor Graphs.
International Journal of Pattern Recognition and Artificial Intelligence, 2008.
In press.
[top]
62
A. F. Häussler and C. von der Malsburg.
Development of retinotopic projections -- an analytical treatment (ps, pdf).
Journal of Theoretical Neurobiology, 2:47-73, 1983.
[top]
63
A. Heinrichs.
Einsatz statistischer Lernmethoden zum Finden von Gesichtern in natürlichen Bildern (ps, pdf).
Internal Report IRINI 2001-07, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, July 2001.
[top]
64
A. Heinrichs, C. Eckes, R. P. Würtz, and C. von der Malsburg.
Learning the detection of faces in natural images (pdf).
In 4. Workshop Dynamic Perception, pages 265-270, 2002.
[top]
65
A. Heinrichs, D. Kourbaroulis, B. Levienaise-Obadia, P. Rovida, and J. Jolion.
Image indexation and content based search using pre-attentive similarities (ps, pdf).
In conference RIAO 2000 (Content-based Multimedia Access), 2000.
[top]
66
A. Heinrichs, M. K. Müller, A. H. Tewes, and R. P. Würtz.
Graphs with principal components of Gabor wavelet features for improved face recognition (pdf).
In G. Cristóbal, B. Javidi, and S. Vallmitjana, editors, Information Optics: 5th International Workshop on Information Optics; WIO´06, pages 243-252. American Institute of Physics, 2006.
[top]
67
L. Heyden.
Inkrementelle Akquisition von 3D-Objektmodellen (pdf).
Internal Report IRINI 2006-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, may 2006.
[top]
68
L. Heyden, R. P. Würtz, and G. Peters.
Supplementing bundle adjustment with evolutionary algorithms (pdf).
In Proceedings of the IET International Conference on Visual Information Engineering, pages 533-536, 2006.
[top]
69
A. Hohmann and C. von der Malsburg.
Mccollough effect and eye optics (pdf).
Perception, 7:551-555, 1978.
[top]
70
H. Hong.
Analysis, Recognition and Synthesis of Facial Gestures (ps, pdf).
PhD thesis, University of Southern California, Dec. 2000.
[top]
71
H. Hong, H. Neven, and C. v. d. Malsburg.
Online facial expression recognition based on personalized gallery (pdf).
In Intl. Conference on Automatic Face and Gesture Recognition, pages 354-359, Nara, Japan, April 14-16 1998. IEEE Comp. Soc.
[top]
72
E. Jitsev.
Mustererkennung in einem neuronalen Modell kortikaler Makrokolumnennetzwerke (pdf).
Internal Report IRINI 2006-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, juli 2006.
[top]
73
P. Kalocsai, C. von der Malsburg, and J. Horn.
Face recognition by statistical analysis of feature detectors (pdf).
Image And Vision Computing, 18(4):273-278, March 2000.
[top]
74
J. Kautsky, B. Zitova, J. Flusser, and G. Peters.
Feature point detection in blurred images (ps, pdf).
In R. Klette, G. Gimel´farb, and R. Kakarala, editors, Image and Vision Computing, International Conference, IVCNZ´98, Proceedings, Aukland, New Zealand, November 1998.
[top]
75
E. Kefalea.
Object localization and recognition for a grasping robot (ps, pdf).
In Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (IECON 98), Aachen, Germany, 1998.
[top]
76
E. Kefalea.
Flexible Object Recognition for a Grasping Robot, PhD thesis (ps, pdf).
Germany, 2001.
[top]
77
E. Kefalea, E. Maël, and R. P. Würtz.
An integrated object representation for recognition and grasping (ps).
In L. Jain, editor, Proceedings of the Third International Conference on Knowledge-based Intelligent Information Engineering Systems, Adelaide, Australia, pages 423-426. IEEE Press, 1999.
[top]
78
E. Kefalea, O. Rehse, and C. von der Malsburg.
Object classification based on contours with elastic graph matching (ps, pdf).
In Proceedings of the 3rd International Workshop on Visual Form, 1997.
[top]
79
M. Kleusberg.
Lernen qualitativer Lagebeziehungen aus visueller und sprachlicher Information (ps, pdf).
Diplomarbeit, Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany, 44780 Bochum, Juli 1999.
[top]
80
H. Koch, M. Krell, C. von der Malsburg, G. Poelz, H. Schmitt, L. Tauscher, G. Backenstoss, S. Charalambus, and H. Daniel.
Pionic 2p level widths in light nuclei (pdf).
Physics Letters, 29B(2):140-142, April 1969.
[top]
81
W. Konen, T. Maurer, and C. von der Malsburg.
A fast dynamic link matching algorithm for invariant pattern recognition (title, body).
Internal Report IRINI 93-08, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Oct. 1993.
[top]
82
W. Konen, T. Maurer, and C. von der Malsburg.
A Fast Dynamic Link Matching Algorithm for Invariant Pattern Recognition (pdf).
Neural Networks, 7(6/7):1019-1030, 1994.
[top]
83
W. Konen and C. von der Malsburg.
Unsupervised symmetry detection: A network that learns from single examples (pdf).
In I. Aleksander and J. Taylor, editors, Proc. Artificial Neural Networks, Brighton, volume 2, pages 121-124. North-Holland, 1992.
[top]
84
W. Konen and C. von der Malsburg.
Learning to generalize from single examples in the dynamic link architecture (pdf).
Neural Computation, 5:719-735, 1993.
[top]
85
W. Konen and J. C. Vorbrüggen.
Applying dynamic link matching to object recognition in real world images (ps, pdf).
In S. Gielen and B. Kappen, editors, Proceedings of the International Conference on Artificial Neural Networks (ICANN93), pages 982-985. North-Holland, Amsterdam, 1993.
[top]
86
P. König, C. Kayser, V. Bonin, and R. P. Würtz.
Efficient evaluation of serial sections by iterative Gabor matching.
Journal of Neuroscience Methods, 111(2):141-150, 2001.
[top]
87
M. Krüger, A. Schäfer, A. Tewes, and R. P. Würtz.
Communicating agents architecture with applications in multimodal human computer interaction (pdf).
In P. Dadam and M. Reichert, editors, Informatik 2004, volume 2, pages 641-645. Gesellschaft für Informatik, 2004.
[top]
88
M. Krüger, C. von der Malsburg, and R. P. Würtz.
Self-organized evaluation of dynamic hand gestures for sign language recognition (pdf).
In R. P. Würtz, editor, Organic Computing, pages 321-342. Springer, 2008.
[top]
89
N. Krüger.
An algorithm for the learning of weights in discrimination functions (ps).
Internal Report IRINI 95-08, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, May 1995.
[top]
90
N. Krüger.
Learning weights in discrimination functions using a priori constraints (ps, pdf).
In Mustererkennung, pages 110-118. Springer, 1995.
[top]
91
N. Krüger.
An algorithm for the learning of weights in discrimination functions using a priori constraints (ps, pdf).
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997.
[top]
92
N. Krüger.
Collinearity and parallism are statistically significant second order relations of complex cell responses (ps).
Internal Report IRINI 97-15, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Aug. 1997.
[top]
93
N. Krüger.
Collinearity and parallism are significant second order relations of gabor wavelet responses (ps, pdf).
In I&ANN 98, 1998.
[top]
94
N. Krüger.
Collinearity and parallism are statistically significant second order relations of complex cell responses (ps, pdf).
Neural Processing Letters, 8(2):117-129, 1998.
[top]
95
N. Krüger.
Learning weigths in discrimination functions using a priori constraints.
In Mustererkennung 1995, 17.DAGM-Symposium Bielefeld, 1998.
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96
N. Krüger.
Visual Learning with a priori Constraints (PhD Thesis) (ps, pdf).
Shaker Verlag, Germany, 1998.
[top]
97
N. Krüger and N. Lüdtke.
Orassyll: Object recognition with autonomously learned and sparse symbolic representations based on local line detectors (ps).
Proceedings of BMVC 98, 1998.
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98
N. Krüger, E. Maël, M. Pagel, and C. v.d. Malsburg.
Autonomous learning of object representations utilizing self-controlled movements (ps, pdf).
In D.Nauck, G. Krell, R. Kruse, and B. Michaelis, editors, Neural Networks in Applications NN 98, Proc. of the 3. intern. workshop Magdeburg, pages 25-29, Institute of Knowledge Processing and Language Engineering(IWS), Uni Magdeburg, Feb 12-13 1998.
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99
N. Krüger and G. Peters.
Object recognition with banana wavelets (ps, pdf).
In Proceedings of the ESANN97, 1997.
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100
N. Krüger and G. Peters.
ORASSYL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors (ps, pdf).
Computer Vision and Image Understanding, 77:48-77, 2000.
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101
N. Krüger, G. Peters, and C. v. d. Malsburg.
Object recognition with a sparse and autonomously learned representation based on banana wavelets (ps).
Internal Report IRINI 96-11, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Dec. 1996.
[top]
102
N. Krüger, M. Poetzsch, and C. von der Malsburg.
Determination of face position and pose with a learned representation based on labeled graphs (ps).
Internal Report IRINI 96-03, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Jan. 1996.
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103
N. Krüger, M. Pötzsch, T. Maurer, and M. Rinne.
Estimation of face position and pose with labeled graphs (ps, pdf).
In Proceedings of the British Machine Vision Conference, 1996.
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104
N. Krüger, M. Pötzsch, and G. Peters.
Principles of cortical processing applied to and motivated by artificial object recognition (ps).
Internal Report IRINI 97-17, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Oct. 1997.
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105
N. Krüger, M. Pötzsch, and G. Peters.
Principles of cortical processing applied to and motivated by artificial object recognition (ps, pdf).
In R. Baddeley, P. Hancock, and P. Foldiak, editors, Information, Theory, and the Brain. Cambridge University Press, Cambridge, United Kingdom, 2000.
ISBN 0521 63197 1.
[top]
106
N. Krüger, M. Pötzsch, and C. von der Malsburg.
Determination of face position and pose with a learned representation based on labelled graphs (ps, pdf).
Image and Vision Computing, 15:665-673, 1997.
[top]
107
N. Krüger, B. Tirozzi, and S. Albeverio.
Speech recognition with extended kohonen phonetic maps (ps, pdf).
Fortschritte der Akustik - DAGA, pages 1293-1296, 1994.
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108
W. Kusnezow, W. Horn, and R. P. Würtz.
Fast image processing with constraints by solving linear PDEs (pdf).
Electronic Letters on Computer Vision and Image Analysis, 6(2):22-35, 2007.
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109
M. Lades.
Invariant Object Recognition with Dynamical Links, Robust to Variations in Illumination.
PhD thesis, Ruhr-Universität Bochum, 1995.
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110
M. Lades, J. Buhmann, and F. Eeckmann.
Distortion invariant object recognition under drastically varying lighting conditions (title, body).
Internal Report IRINI 93-09, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 1993.
[top]
111
M. Lades, J. C. Vorbrüggen, J. Buhmann, J. Lange, C. von der Malsburg, R. P. Würtz, and W. Konen.
Distortion invariant object recognition in the dynamic link architecture (ps, pdf).
IEEE Transactions on Computers, 42:300-311, 1993.
[top]
112
M. Lades, J. C. Vorbrüggen, and R. P. Würtz.
Recognizing faces with a transputer farm (ps, pdf).
In T. Durrani, W. Sandham, J. Soraghan, and S. Forbes, editors, Applications of Transputers, pages 148-153. IOS Press; Amsterdam, Oxford, Washington, Tokio, 1991.
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113
M. Lessmann.
Konturenerkennung mit einem Modell kortikaler Makrokolumnen (pdf).
Internal Report IRINI 2008-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, September 2008.
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114
M. Lessmann and R. P. Würtz.
Image Segmentation by a Network of Cortical Macrocolumns with Learned Connection Weights (pdf).
In M. Hinchey, A. Pagnonia, F. J. Rammig, and H. Schmeck, editors, Proceedings of Biologically Inspired Cooperative Computing (BICC), Milano, Sep. 2008, pages 177-186. Springer, 2008.
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115
H. Loos.
Positionsvorhersage von bewegten Objekten in großformatigen Bildsequenzen (ps).
Internal Report IRINI 98-08, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 1998.
Diplomarbeit.
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116
H. S. Loos.
Positionsvorhersage von bewegten Objekten in großformatigen Bildsequenzen (ps, pdf).
Diplomarbeit, Lehrstuhl Künstliche Intelligenz, Universität Dortmund und Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany, 1997.
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117
H. S. Loos.
Suchbilder: Computer erkennt Personen in Echtzeit.
c´t: magazin für computer technik, 15:128-131, 2000.
[top]
118
H. S. Loos, B. Fritzke, and C. von der Malsburg.
Positionsvorhersage von bewegten Objekten in großformatigen Bildsequenzen (ps, pdf).
In S. Posch and H. Ritter, editors, Proceedings in Artificial Intelligence: Dynamische Perzeption, Juni 18-19, Bielefeld, Germany, pages 31-38. Infix Verlag, 1998.
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119
H. S. Loos and C. Malsburg.
1-click learning of object models for recognition (ps, pdf).
In H. Bülthoff, S.-W. Lee, T. Poggio, and C. Wallraven, editors, Biologically Motivated Computer Vision 2002 (BMCV 2002), volume 2525 of Lecture Notes in Computer Science, pages 377-386, Tübingen, Germany, November 22-24 2002. Springer Verlag.
[top]
120
H. S. Loos, D. Wieczorek, R. P. Würtz, C. von der Malsburg, and B. Horsthemke.
Computer-based recognition of dysmorphic faces (pdf).
European Journal of Human Genetics, 11:555-560, 2003.
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121
T. Lourens and R. P. Würtz.
Object recognition by matching symbolic edge graphs (ps, pdf).
In R. Chin and T.-C. Pong, editors, Computer Vision -- ACCV´98, volume 1352 of Lecture Notes in Computer Science, pages II-193 - II-200. Springer Verlag, 1998.
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122
T. Lourens and R. P. Würtz.
Extraction and matching of symbolic contour graphs (pdf).
International Journal of Pattern Recognition and Artificial Intelligence, 17(7):1279-1302, 2003.
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123
J. Lücke.
Clustering with minicolumnar receptive field self-organization (pdf).
pages 3113 - 3118, 2004.
IJCNN.
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124
J. Lücke.
Hierarchical self-organization of minicolumnar receptive fields (pdf).
pages 1377 - 1389, 2004.
Neural Networks, Special Issue New Developments in Self-Organizing Systems.
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125
J. Lücke.
Dynamics of cortical columns - sensitive decision making.
In Proc. ICANN, LNCS 3696, pages 25 - 30. Springer, 2005.
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126
J. Lücke.
Dynamics of cortical macrocolumns - an abstract derivation.
2005.
COSYNE, 2005.
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127
J. Lücke.
Information Processing and Learning in Networks of Cortical Columns.
Shaker Verlag, 2005.
Dissertation.
[top]
128
J. Lücke.
Learning of representations in a canonical model of cortical columns.
In Computational and Systems Neuroscience (COSYNE), 2006.
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129
J. Lücke and J. D. Bouecke.
Dynamics of cortical columns - self-organization of receptive fields.
In Proc. ICANN, LNCS 3696, pages 31 - 37. Springer, 2005.
[top]
130
J. Lücke, C. Keck, and C. von der Malsburg.
Rapid Convergence to Feature Layer Correspondences (pdf).
Neural Computation, 20(10):2441-2463, February 2008.
[top]
131
J. Lücke, C. Keck, P. Wolfrum, C. Wolff, J. D. Bouecke, and C. von der Malsburg.
Neural feature layers can establish correspondences in physiological time.
In Proc. COSYNE, page 305, 2007.
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132
J. Lücke and C. von der Malsburg.
Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn (pdf).
Neural Computation, 16(3):501-533, 2004.
[top]
133
J. Lücke and C. von der Malsburg.
Rapid correspondence finding in networks of cortical columns (pdf).
In Proc. ICANN, LNCS 4131, pages 668-677. Springer, 2006.
[top]
134
J. Lücke, C. von der Malsburg, and R. P. Würtz.
Macrocolumns as decision units (abstract) (pdf).
In Proc. Int. Conf. on Artificial Neural Networks, LNCS, pages 57-62. Springer, 2002.
[top]
135
U. Lynen, C. von der Malsburg, R. Santo, and R. Stock.
Angular distributions of the 90Zr(d,p) reaction and the coupling of analogous (d,p) and (d,n) channels (pdf).
Physics Letters, 24B(5):237-239, 1967.
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136
H. Lyre.
Bildverarbeitung mit Wavelets zur Extraktion von Mehrskalen-Kanten (title, body).
Internal Report IRINI 93-03, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, July 1993.
Diplomarbeit.
[top]
137
E. Maël.
A hierarchical network for learning robust models of kinematic chains (ps, pdf).
In Proceedings of the ICANN 96, Berlin, Heidelberg, New York, 1996. Springer Verlag.
[top]
138
E. Maël.
Adaptive and Flexible Robotics for Visual and Tactile Grasping (ps, pdf).
PhD thesis, Physics Dept., Univ. of Bochum, Germany, Dec. 2000.
[top]
139
D. Malysiak.
Untersuchung der Datenredundanz von Bündelgraphen zur Gesichtserkennung (pdf).
Internal Report IRINI 2008-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, July 2008.
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140
B. S. Manjunath, R. Challappa, and C. von der Malsburg.
A feature based approach to face recognition (pdf).
In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 373-378, Champaign, Illinois, June 15-18 1992.
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141
A. Matysiak, P. J. Durka, E. M. Montes, M. Barwinski, P. Zwolinski, M. Roszkowski, and K. J. Blinowska.
Time-frequency-space localization of epileptic eeg oscillations (pdf).
Acta Neurobiologiae Experimentalis, 65:435-442, 2005.
[top]
142
T. Maurer.
Erkennung gedrehter Gesichter: von Einzelbildern zu Sequenzen (ps, pdf).
PhD thesis, Fakultät für Physik und Astronomie, November 1999.
[top]
143
T. Maurer and C. von der Malsburg.
Learning feature transformations to recognize faces rotated in depth (ps, pdf).
In International Conference on Artificial Neural Networks, pages 353-358, Paris, October 9-13 1995.
[top]
144
T. Maurer and C. von der Malsburg.
Single-view based recognition of faces rotated in depth (ps, pdf).
In International Workshop on Automatic Face- and Gesture-Recognition, pages 248-253, Zürich, June 26-28 1995.
[top]
145
T. Maurer and C. von der Malsburg.
Tracking and learning graphs and pose on image sequences of faces (ps, pdf).
In Proceedings of the 2nd International Conference on Automatic Face- and Gesture- Recognition, pages 176-181, Killington, Vermont, USA, oct 1996.
[top]
146
T. Maurer and C. von der Malsburg.
Tracking and learning graphs on image sequences of faces (ps, pdf).
In C. v.d. Malsburg, W. v. Seelen, J. Vorbrüggen, and B. Sendhoff, editors, Proceedings of the ICANN 1996, Springer Verlag, Berlin, Heidelberg, New York, pages 323-328, Bochum, July 1996.
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147
S. J. McKenna, S. Gong, R. P. Würtz, J. Tanner, and D. Banin.
Tracking facial feature points with Gabor wavelets and shape models (ps, pdf).
In J. Bigün, G. Chollet, and G. Borgefors, editors, Proceedings of the First International Conference on Audio- and Video-based Biometric Person Authentication Crans-Montana, Switzerland, March 1997, volume 1206 of LNCS, pages 35-42. Springer Verlag, 1997.
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148
K. Messer, J. Kittler, M. Sadeghi, M. Hamouz, A. Kostin, F. Cardinaux, S. Marcel, S. Bengio, C. Sanderson, N. Poh, Y. Rodriguez, J. Czyz, L. Vandendorpe, C. McCool, S. Lowther, S. Sridharan, V. Chandran, R. P. Palacios, E. Vidal, L. Bai, L. Shen, Y. Wang, C. Yueh-Hsuan, L. Hsien-Chang, H. Yi-Ping, A. Heinrichs, M. Müller, A. Tewes, C. von der Malsburg, R. Würtz, Z. Wang, F. Xue, Y. Ma, Q. Yang, C. Fang, X. Ding, S. Lucey, R. Goss, and H. Schneiderman.
Face authentication test on the banca database (pdf).
In Proceedings of ICPR 2004, Cambridge, volume 4, pages 523-532, 2004.
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149
H. Mohlberg.
Temporale Periodizitätsanalyse akustischer Stimuli: Psychophysik und Neuromodell (ps).
Internal Report IRINI 96-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Jan. 1996.
Diplomarbeit.
[top]
150
C. Möller, J. Lücke, J. Zhu, P. M. Faustmann, and C. von der Malsburg.
Glial cells for information routing? (pdf).
Cognitive Systems Research, 8:28-35, 2007.
[top]
151
M. Müller.
Finden von Punktkorrespondenzen zwischen Gesichtsbildern (ps, pdf).
Internal Report IRINI 2004-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Mar. 2004.
[top]
152
M. K. Müller, A. Heinrichs, A. H. Tewes, A. Schäfer, and R. P. Würtz.
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose (pdf).
In S.-W. Lee and S. Z. Li, editors, Advances in Biometrics, ICB 2007, LNCS 4642, pages 67-76. Springer-Verlag Berlin Heidelberg, August 2007.
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153
C. Müller-Schloer, C. von der Malsburg, and R. P. Würtz.
Aktuelles Schlagwort: Organic Computing (pdf).
Informatik Spektrum, 27(4):332-336, 2004.
[top]
154
K. Okada.
Analysis, Synthesis and Recognition of Human Faces with Pose Variations (ps, pdf).
PhD thesis, University of Southern California, 2001.
[top]
155
K. Okada, S. Akamatsu, and C. von der Malsburg.
Analysis and Synthesis of Pose Variations of Human Faces by a Linear PCMAP Model and its Application for Pose-Invariant Face Recognition System (ps, pdf).
In Proceedings of Fourth International Conference on Automatic Face and Gesture Recognition, pages 142-149, Grenoble, March 2000.
[top]
156
K. Okada, L. Kite, and C. von der Malsburg.
An Adaptive Person Recognition System (ps, pdf).
In Proceedings of the IEEE International Workshop on Robot-Human Interactive Communication, pages 436-441, Bordeaux/Paris, 2001.
[top]
157
K. Okada and M. J. Lyons.
On gabor wavelet-based image processing for nissl-stained rat brain slices (pdf).
Technical Report 02-756, Computer Science Department, University of Southern California, 2002.
[top]
158
K. Okada, J. Steffens, T. Maurer, H. Hong, E. Elagin, H. Neven, and C. von der Malsburg.
The Bochum/USC Face Recognition System And How it Fared in the FERET Phase III test (ps, pdf).
In H. Wechsler, P. J. Phillips, V. Bruce, F. Soulié, and T. Huang, editors, Face Recognition: From Theory to Applications, pages 186-205. Springer-Verlag, 1998.
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159
K. Okada and C. von der Malsburg.
Automatic Video Indexing with Incremental Gallery Creation: Integration of Recognition and Knowledge Acquisition (ps, pdf).
In Proceedings of ATR Symposium on Face and Object Recognition, pages 153-154, Kyoto, July 19-23, 1999.
[top]
160
K. Okada and C. von der Malsburg.
Automatic Video Indexing with Incremental Gallery Creation: Integration of Recognition and Knowledge Acquisition (ps, pdf).
In Proceedings of Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, pages 431-434, Adelaide, August 31, 1999.
[top]
161
K. Okada and C. von der Malsburg.
Analysis and Synthesis of Human Faces with Pose Variations by a Parametric Piecewise Linear Subspace Method (ps, pdf).
In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume I, pages 761-768, Kauai, 2001.
[top]
162
K. Okada and C. von der Malsburg.
Parametric piecewise linear subspace method for processing facial images with 3d pose variations.
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002.
[top]
163
K. Okada and C. von der Malsburg.
Pose-invariant face recognition: Representing known persons by view-based statistical models.
Submitted to Computer Vision and Image Understanding, 2002.
[top]
164
K. Okada and C. von der Malsburg.
Pose-invariant face recognition with parametric linear subspaces.
In Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, pages 71-76, may 2002.
[top]
165
K. Okada, C. von der Malsburg, and S. Akamatsu.
A Pose-Invariant Face Recognition System using Linear PCMAP Model (ps, pdf).
In Proceedings of IEICE workshop of Human Information Processing (HIP99-48), pages 7-12, Okinawa, November 1999.
[top]
166
M. Pagel.
Selbstkalibration der visuo-motorischen Koordination (ps).
Internal Report IRINI 97-21, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Dec. 1997.
[top]
167
M. Pagel, E. Maël, and C. von der Malsburg.
Self Calibration of the Fixation Movement of a Stereo Camera Head (pdf).
Autonomous Robots, 5:355-367, 1998.
[top]
168
M. Pagel, E. Maël, and C. von der Malsburg.
Self Calibration of the Fixation Movement of a Stereo Camera Head (pdf).
Machine Learning, 31:169-186, 1998.
[top]
169
G. Peters.
Lernen lokaler Objektmerkmale mit Bananenwavelets (ps).
Internal Report IRINI 96-09, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Aug. 1996.
Diplomarbeit.
[top]
170
G. Peters.
Theories of Three-Dimensional Object Perception - A Survey (ps, pdf).
In Recent Research Developments in Pattern Recognition, Part-I, volume 1, pages 179-197. Transworld Research Network, 2000.
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171
G. Peters.
The Interpolation Between Unsimilar Views of a 3-D Object Increases the Similarity and Decreases the Significance of Local Phase (pdf).
In C. Musio, editor, Vision: The Approach of Biophysics and Neurosciences. World Scientific, Singapore, New Jersey, London, Hong Kong, 2001.
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172
G. Peters, C. Eckes, and C. v. d. Malsburg.
Tracking of rotating objects (ps, pdf).
In A. Amin, D. Dori, P. Pudil, and H. Freeman, editors, Advances in Pattern Recognition, Joint IAPR International Workshops SSPR´98 and SPR´98, Proceedings, Lecture Notes in Computer Science 1451, pages 390-396, Sydney, Australia, August 11-13 1998. Springer-Verlag.
[top]
173
G. Peters, N. Krüger, and C. von der Malsburg.
Learning object representations by clustering banana wavelet responses (ps, pdf).
In P. Pudil, J. Novovicova, and J. Grim, editors, Proceedings of the 1st International Workshop on Statistical Techniques In Pattern Recognition (STIPR97), pages 113-118, Prague, June 1997.
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174
G. Peters and C. von der Malsburg.
Interpolation of Novel Object Views from Sample Views (ps, pdf).
In M. F. Sebaaly, editor, Proceedings of the International NAISO Congress on Information Science Innovations (ISI´2001), pages 800-805, Dubai, U.A.E., March 17 - 21 2001. International Computing Science Conventions (ICSC), ICSC Academic Press, Canada/The Netherlands.
ISBN 3-906454-25-8.
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175
G. Peters and C. von der Malsburg.
View Reconstruction by Linear Combination of Sample Views (ps, pdf).
In accepted for: British Machine Vision Conference 2001 (BMVC:2001), Manchester, UK, September 10-13, 2001.
[top]
176
G. Peters, B. Zitova, and C. von der Malsburg.
A Comparative Evaluation of Matching and Tracking Object Features for the Purpose of Estimating Similar-View-Areas of 3-Dimensional Objects (ps).
Internal Report IRINI 99-06, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Apr. 1999.
[top]
177
G. Peters, B. Zitova, and C. von der Malsburg.
Two Methods for Comparing Different Views of the Same Object (ps, pdf).
In T. Pridmore and D. Elliman, editors, Proceedings of the 10th British Machine Vision Conference (BMVC´99), volume 2, pages 493-502, Nottingham, UK, September 13-16, 1999. University of Nottingham.
ISBN 1 901725 09 X.
[top]
178
G. Peters, B. Zitova, and C. von der Malsburg.
How to Measure the Pose Robustness of Object Views (pdf).
Image and Vision Computing, 20(4):249-256, 2002.
[top]
179
G. Peters, B. Zitova, and C. von der Malsburg.
How to Measure the Pose Robustness of Object Views (pdf).
Image and Vision Computing, Special Issue: British Machine Vision Conference 1999, 20(5-6):341-348, 2002.
[top]
180
M. Poetzsch.
Die Behandlung der Wavelet-Transformation von Bildern in der Nähe von Objektkanten (pdf, ps.gz).
Internal Report IRINI 94-04, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, May 1994.
Diplomarbeit.
[top]
181
M. Pötzsch.
Object-Contour Statistics Extracted from Natural Image Sequences (ps, pdf).
PhD thesis, Fakultät für Physik und Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany, 1999.
[top]
182
M. Pötzsch, N. Krüger, and C. von der Malsburg.
Improving object recognition by transforming gabor filter responses (ps, pdf).
Network: Computation in Neural Systems, 7(2):341-347, May 1996.
[top]
183
M. Pötzsch, T. Maurer, L. Wiskott, and C. Malsburg.
Reconstruction from graphs labeled with responses of gabor filters (ps, pdf).
In C. v.d. Malsburg, W. v. Seelen, J. Vorbrüggen, and B. Sendhoff, editors, Proceedings of the ICANN 1996, Springer Verlag, Berlin, Heidelberg, New York, pages 845-850, Bochum, July 1996.
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184
M. Pötzsch and C. von der Malsburg.
Self-organization of networks in the visual system (ps, pdf).
In G. Dorffner, K. Möller, G. Paaß, and S. Vogel, editors, Konnektionismus und Neuronale Netze (Beiträge zur Herbstschule HeKoNN95), volume 272 of GMD-Studien, pages 299-315, Münster/Westf., October 1995. GMD-Forschungszentrum Informationstechnik GmbH.
[top]
185
C. Prodöhl, R. P. Würtz, and C. von der Malsburg.
Learning the Gestalt Rule of Collinearity from Object Motion (pdf).
Neural Computation, 15(8):1865-1896, 2003.
[top]
186
U. Quill.
Dynamisches Auffinden von Automorphismen in Bildern (ps).
Internal Report IRINI 95-11, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 1995.
Diplomarbeit.
[top]
187
O. Rehse.
Visuelle Objektkanten und Signaldynamik (ps).
Internal Report IRINI 97-05, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Apr. 1997.
[top]
188
O. Rehse, M. Pötzsch, and C. von der Malsburg.
Edge information: A confidence based algorithm emphazising continuous curves (ps, pdf).
In C. v.d. Malsburg, W. v. Seelen, J. Vorbrüggen, and B. Sendhoff, editors, Proceedings of the ICANN 96, Springer Verlag, Berlin, Heidelberg, New York, pages 851-856, Bochum, July 1996.
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189
H. Reimann and I. Iossifidis.
Mathematical and Simulation Framework for Arbitrary Open Chain Manipulators (pdf).
Internal Report IRINI 2008-03, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, December 2008.
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190
M. Rinne.
Matchen von Kantenbildern mit einem dynamischen Neuronennetz (ps).
Internal Report IRINI 95-06, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, 1995.
Diplomarbeit.
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191
M. Rinne, M. Pötzsch, C. Eckes, and C. von der Malsburg.
Designing Objects for Computer Vision: The Backbone of the Library FLAVOR (ps).
Internal Report IRINI 99-08, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Dec. 1999.
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192
A. Schäfer.
Visuelle Erkennung von menschlichen Armbewegungen mit Unterstützung eines kinematischen Modells (ps).
Internal Report IRINI 2000-03, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, May 2000.
Diplomarbeit.
[top]
193
A. Schäfer.
Versuche zum Lernen artikulierter Objekte aus Bildsequenzen.
Shaker Verlag, Germany, 2006.
[top]
194
T. Schmauch.
Untersuchungen zum Einfluß der Beleuchtung auf die Struktur von Gesichtsbildern (ps, pdf).
Internal Report IRINI 2001-06, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, May 2001.
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195
E. Schmidt, P. Gulla, W. Haberzettl, F. Lohnert, V. Hansen, G. Hirzinger, R. Koeppe, W. von Seelen, H. Janßen, C. von der Malsburg, and R. Würtz.
NEUROS -- Neuronale Skills intelligenter Roboter (pdf).
In G. Wolf and R. Schmidt, editors, Statustagung des BMBF: Intelligente Systeme, pages 201-221. Projektträger Informationstechnik/DLR, Berlin, 1999.
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196
N. T. Schmidt.
Konturmetrik als modellbasierter Term in der NURBS-Snakes-Zielfunktion (pdf).
Internal Report IRINI 2007-01, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, March 2007.
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197
P. Schmidt.
Entwicklung und Aufbau von taktiler Sensorik für eine Roboterhand (ps, pdf.
Internal Report IRINI 99-05, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Apr. 1999.
Diplomarbeit.
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198
P. Schmidt, E. Maël, and R. P. Würtz.
A sensor for dynamic tactile information with applications in human-robot interaction and object exploration (pdf).
Robotics and Autonomous Systems, 54(12):1005-1014, 2006.
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199
P. Schmidt and G. Westphal.
Object manipulation by integration of visual and tactile representations (pdf).
In Dynamic Perception. infix Verlag/IOS press, 2004.
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200
A. Schwarz.
Erkennung von Objekten in Grauwertbildern mit laufenden nichtlinearen Wellen (ps).
Internal Report IRINI 95-09, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, July 1995.
Diplomarbeit.
[top]
201
N. Serrano, A. Ortega, S. Wu, K. Okada, and C. von der Malsburg.
Compression for distributed face recognition (pdf).
In Proceedings of the Multimodal User Authentication Workshop, Santa Barbara, CA, December 11-12 2003.
[top]
202
L. Shams, J.-M. Fellous, and C. von der Malsburg.
A comparative study of gabor and pixel representations in original and pc spaces (pdf).
In Proceedings of the World Congress on Neural Networks, volume 3, pages 138-141, Washington D.C., July 1995.
[top]
203
L. Shams and J. Fiser.
A model for development of cortical lateral connectivities using motion information.
In J. Bower, editor, Computational NeuroScience: Trends in Research, pages 515-518, New York, 1998. Plenum Press.
[top]
204
L. Shams, J. Fiser, and C. von der Malsburg.
A developmental model of a gating mechanism which leads to formation of lateral cortical connectivity patterns (pdf).
In Proceedings of the 4th Joint Symposium On Neural Computation, Los Angeles, California, May 1997.
[top]
205
L. Shams and J. Spoelstra.
Learning gabor-based features for face detection.
In Proceedings of the World Congress on Neural Networks, San Diego, Calif., September 1996.
[top]
206
L. Shams and C. von der Malsburg.
Development of shape primitives from images of composite objects represented by complex cells (pdf).
In Proceedings of 7th International Conference on Artificial Neural Networks, pages 895-900, Lausanne, Switzerland, October 1997.
[top]
207
L. Shams and C. von der Malsburg.
Acquisition of visual shape primitives (pdf).
Vision Research, 42 (17):2105-2122, 2002.
[top]
208
L. Shams and C. von der Malsburg.
The role of complex cells in object recognition (pdf).
Vision Research, 42 (22):2547-2554, 2002.
[top]
209
L. Shams, C. von der Malsburg, and D. Lavond.
Development of high-level visual object representations based on complex-cell type features (pdf).
In Proceedings of Society for Neuroscience Meeting, page 175, New Orleans, Louisiana, October 1997.
[top]
210
X. Tang, K. Okada, and C. von der Malsburg.
A joint statistical approach for geon detection.
To appear in Proceedings of the Sixth International Conference on Cognitive and Neural Systems, May 2002.
[top]
211
A. R. Tanguay, Jr., B. K. Jenkins, C. von der Malsburg, B. Mel, G. Holt, J. O´Brien, I. Biedermann, A. Madhukar, P. Nasiatka, and Y. Huang.
Vertically integrated photonic multichip module architecture for vision applications (pdf).
In R. A. Lessard and T. Galstian, editors, Optics in Computing 2000, volume 4089 of Proceedings of SPIE, pages 584-600, Quebec City, Canada, 18-23 June 2000.
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212
C. Teipel.
Das Lernen von Korrespondenzen aus bewegten Bildern (ps, pdf).
Internal Report IRINI 2004-03, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Sept. 2004.
[top]
213
S. Terodde.
Anwendung und Implementierung einer komplexwertigen Multiskalenanalyse zur Extraktion lokaler Bildmerkmale (ps, pdf).
Internal Report IRINI 2002-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Nov. 2002.
[top]
214
A. Tewes, C. von der Malsburg, and R. P. Würtz.
A flexible object model for facial gesture recognition.
In H. H. Bülthoff, H. A. Mallot, R. D. Ulrich, and F. A. Wichmann, editors, 8th Tübingen Perception Conference, page 67. Knirsch Verlag Kirchentellinsfurt, 2005.
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215
A. Tewes, R. P. Würtz, and C. von der Malsburg.
A flexible object model for recognising and synthesising facial expressions (pdf).
In T. Kanade, N. Ratha, and A. Jain, editors, Proceedings of the International Conference on Audio- and Video-based Biometric Person Authentication, LNCS, pages 81-90. Springer, 2005.
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216
A. H. J. Tewes.
A Flexible Object Model for Encoding and Matching Human Faces (pdf).
Shaker Verlag, Germany, 2006.
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217
J. Triesch.
Metrik im visuellen System (ps).
Internal Report IRINI 95-05, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, May 1995.
Diplomarbeit.
[top]
218
J. Triesch.
Vision-Based Robotic Gesture Recognition (ps, pdf).
PhD thesis, Institut für Neuroinformatik, Ruhr-Universität Bochum, May 1999.
[top]
219
J. Triesch.
Vision-Based Robotic Gesture Recognition, PhD thesis.
Shaker-Verlag Aachen, Germany, 1999.
ISBN 3-8265-6257-7.
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220
J. Triesch and C. Eckes.
Object recognition with multiple feature types (ps, pdf).
In T. Z. L. Niklasson, M. Bodén, editor, ICANN´98, Perspectives in Neural Computing, pages 233-238. Springer, 1998.
[top]
221
J. Triesch, E. Maël, J. Wieghardt, and C. v.d. Malsburg.
Towards imitation learning of grasping movements by an autonomous robot (ps, pdf).
GW ´99 - The 3rd Gesture Workshop 17-19 March 1999, Gif-sur-Yvette, France, 1999.
[top]
222
J. Triesch and C. v.d. Malsburg.
Robotic gesture recognition by cue combination (ps, pdf).
In Proceedings of the Informatik´98, 28th Annual Meeting of the Gesellschaft für Informtik, September 21-25 1998, Magdeburg, Germany, 1998.
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223
J. Triesch and C. von der Malsburg.
Binding -- a proposed experiment and a model (ps, pdf).
In Proceedings of the ICANN 96, pages 685-690, Berlin, Heidelberg, New York, 1996. Springer Verlag.
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224
J. Triesch and C. von der Malsburg.
Robust classification of hand postures against complex backgrounds (ps, pdf).
In Proceedings of the Second International Conference on Automatic Face and Gesture Recognition 1996, Killington, Vermont, USA, October 14-16, pages 170-175. IEEE Computer Society Press, 1996.
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225
J. Triesch and C. von der Malsburg.
Robotic gesture recognition (ps, pdf).
In Proceedings of the Bielefeld Gesture Workshop, September 17-19, Germany, Lecture Notes in Artificial Intelligence 1371, pages 233-244. Springer, 1997.
[top]
226
J. Triesch and C. von der Malsburg.
A gesture interface for human-robot-interaction (ps, pdf).
In FG´98, The IEEE Third International Conference on Automatic Face and Gesture Recognition, April 14-16 in Nara, Japan, pages 546-551. IEEE, 1998.
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227
J. Triesch and C. von der Malsburg.
Self-organized integration of visual cues for face tracking (ps, pdf).
In Proceedings of the Fourth International Conference on Automatic Face and Gesture Recognition, pages 102-107, Grenoble, France, March 28-30 2000. IEEE Computer Society.
[top]
228
J. Triesch and C. von der Malsburg.
Democratic Integration: Self-Organized Integration of Adaptive Cues (pdf).
Neural Computation, 13(9):2049-2074, September 2001.
[top]
229
J. Triesch and C. von der Malsburg.
A system for person-independent hand posture recognition against complex backgrounds (pdf).
IEEE Transactions on Pattern Recognition and Machine Intelligence, 23(12):1449-1453, Dec. 2001.
[top]
230
J. Triesch and C. von der Malsburg.
Classification of hand postures against complex backgrounds using elastic graph matching. (pdf).
Image and VisionComputing, 20(13):937-943, 2002.
[top]
231
F. Ulomek.
Klassifikation statischer Handgesten (pdf).
Internal Report IRINI 2007-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, September 2007.
[top]
232
C. v. d. Malsburg, J. Buhmann, K. Flaton, and J. Lange.
Vehicle Identification in IR Images, Based on Labeled Graph Matching (pdf).
Project report, Hughes Aircraft Co., El Segundo, CA, 1988.
[top]
233
C. v. d. Malsburg and J. D. Cowan.
Theory of Ontogenesis of Orientation Domains -- Intracortical Dynamics Part (pdf).
Internal Report 81-1, MPI Biophysical Chemistry, 1981.
[top]
234
C. v. d. Malsburg and K. Reiser.
Pose Invariant Object Recognition in a Neural System (pdf).
In F. Fogelmann-Soulié, J. C. Rault, P. Gallinari, and G. Dreyfus, editors, Proceedings of the International Conference on Artificial Neural Networks ICANN ´95, pages 127 - 132. EC2 & Cie, Paris, 1995.
ISBN 2-910085-19-8.
[top]
235
C. v. d. Malsburg and K. Schulten.
Informationsverarbeitung in biologischen Systemen (pdf).
Vorlesungsskriptum mit Übungen, WS 1981/82, Technische Universität München, 1981.
[top]
236
C. v. d. Malsburg and W. Singer.
Principles of cortical network organization (pdf).
In W. v. Seelen, G. Shaw, and U. M. Leinhos, editors, Organization of Neural Networks, pages 109 - 126. VCH Verlagsgesellschaft, Weinheim, 1987.
short Version of Malsburg and Singer, 1988.
[top]
237
C. v. d. Malsburg and D. J. Willshaw.
Cooperativity and brain organization (pdf).
Trends in NeuroSciences, pages 80 - 83, April 1981.
invited review.
[top]
238
T. Vollmar, B. Maus, R. P. Würtz, G. Gillessen-Kaesbach, B. Horsthemke, D. Wieczorek, and S. Böhringer.
Impact of geometry and viewing angle on classifcation accuracy of 2D based analysis of dysmorphic faces (pdf).
European Journal of Medical Genetics, 51:44-53, 2008.
Advance online publication, 12 Oct. 2007 (doi:10.1016/j.ejmg.2007.10.002).
[top]
239
C. von der Malsburg.
A model for self-organization of orientation sensitivity and columns in the visual cortex (pdf).
Pflügers Arch. Suppl. to, 339, 1973.
R 95.
[top]
240
C. von der Malsburg.
Self-Organization of Orientation Sensitive Cells in the Striate Cortex (pdf).
Kybernetik, 14:85-100, 1973.
[top]
241
C. von der Malsburg.
Development of Ocularity Domains and Growth Behaviour of Axon Terminals (pdf).
Biological Cybernetics, 32:49-62, 1979.
[top]
242
C. von der Malsburg.
Prenatal development of orientation domains in visual (pdf).
Internal report, October 1979.
[top]
243
C. von der Malsburg.
The correlation theory of brain function (ps, pdf).
Internal Report 81-2, MPI Biophysical Chemistry, 1981.
[top]
244
C. von der Malsburg.
How are nervous structures organized? (pdf).
In H. Flohr, H. Haken, E. Basar, and A. J. Mandell, editors, Synergetics of the Brain, Proceedings of the International Symposium on Synergetics, May 1983, pages 238-249, Berlin, Heidelberg, 1983. Springer.
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245
C. von der Malsburg.
Algorithms, brain, and organization (pdf).
In E. Golès, M. Tchuente, and J. Demongeot, editors, Dynamical Systems and Cellular Automata, pages 235-246. Academic Press, London, 1985.
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246
C. von der Malsburg.
Nervous structures with dynamical links (ps, pdf).
Ber. Bunsenges. Phys. Chem., 89:703-710, 1985.
[top]
247
C. von der Malsburg.
A phase transition for biology! (ps, pdf), January 1985.
Contribution to the Festschrift for the 20th Anniversery of Manfred Eigen´s Winterseminar, Memorandum.
[top]
248
C. von der Malsburg.
Am I thinking assemblies ? (pdf).
In G. Palm and A. Aertsen, editors, Proceedings of the Trieste Meeting on Brain Theory, October 1984, pages 161-176, Berlin, Heidelberg, 1986. Springer.
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249
C. von der Malsburg.
Ist die Evolution blind? (pdf).
In B.-O. Küppers, editor, Ordnung aus dem Chaos, pages 269-279. Piper, München, 1987.
[top]
250
C. von der Malsburg.
Kann der mensch intelligente maschinen bauen ? (pdf).
Stahl und Eisen, 107:1148-1151, 1987.
[top]
251
C. von der Malsburg.
Synaptic plasticity as basis of brain organization (ps, pdf).
In J.-P. Changeux and M. Konishi, editors, The Neural and Molecular Bases of Learning, Dahlem Konferenzen, pages 411-431. John Wiley & Sons Ltd., Chichester, 1987.
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252
C. von der Malsburg.
Zu Natur und Ursprung der Ordnung des Menschen (pdf).
In U. Opolka and R. Ellermann, editors, Was bringen uns die Theorien selbstorganisierender Prozesse? Comdok-Verlagsabteilung, Sankt Augustin, 1987.
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253
C. von der Malsburg.
Flexible automaten in neuronaler architektur (pdf).
Spektrum der Wissenschaft, pages 32-33, Januar 1988.
(German translation of Scientific American).
[top]
254
C. von der Malsburg.
Goal and architecture of neural computers (pdf).
In R. Eckmiller and C. von der Malsburg, editors, Neural Computers. Springer, Berlin, 1988.
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255
C. von der Malsburg.
Ordered retino-tectal projections and brain organization (pdf).
In F. E. Yates, editor, Selforganizing Systems--The emergence of order. Plenum Press, 1988.
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256
C. von der Malsburg.
Pattern Recognition by Labeled Graph Matching (pdf).
Neural Networks, 1:141-148, 1988.
[top]
257
C. von der Malsburg.
Neural models, rana and robots (pdf).
In J.-P. Ewert and M. A. Arbib, editors, Visuomotor Coordination: Amphibians, Comparisons, Models, and Robots. Plenum Press, New York, 1989.
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258
C. von der Malsburg.
Considerations for a visual architecture (pdf).
In R. Eckmiller, editor, Advanced Neural Computers, pages 303-312, Amsterdam, 1990. North-Holland.
[top]
259
C. von der Malsburg.
Network self-organization (pdf).
In S. F. Zornetzer, J. Davis, and C. Lau, editors, An Introduction to Neural and Electronic Networks, pages 421-432. Academic Press, 1990.
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260
C. von der Malsburg.
A neural architecture for the representation of scenes (pdf).
In J. L. McGaugh, N. M. Weinberger, and G. Lynch, editors, Brain Organization and Memory: Cells, Systems and Circuits, pages 356-372. Oxford University Press, New York, 1990.
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261
C. von der Malsburg.
Network self-organization in the ontogenesis of the mammalian visual system (title, body).
Internal Report IRINI 93-06, Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Sept. 1993.
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262
C. von der Malsburg.
The correlation theory of brain function (reprint) (pdf).
In Models of Neural Networks II, chapter 2, pages 95-119. Springer, Berlin, 1994.
[top]
263
C. von der Malsburg.
Binding in Models of Perception and Brain Function (ps, pdf).
Current Opinion in Neurobiology, 5:520 - 526, 1995.
[top]
264
C. von der Malsburg.
Dynamic link architecture (pdf).
In M. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 329-331. MIT Press, Cambridge, Mass., 1995.
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265
C. von der Malsburg.
Network self-organization in the ontogenesis of the mammalian visual system (ps, pdf).
In S. F. Zornetzer, J. Davis, C. Lau, and T. McKenna, editors, An Introduction to Neural and Electronic Networks (Second Edition), pages 447-462. Academic Press, 1995.
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266
C. von der Malsburg.
Self-organization and the brain (pdf).
In M. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 840-843. MIT Press, Cambridge, Mass., 1995.
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267
C. von der Malsburg.
The binding problem of neural networks (pdf).
In R. Llinás and P. Churchland, editors, The Mind-Brain Continuum, pages 131-146. MIT Press, Cambridge, 1996.
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268
C. von der Malsburg.
Die Barriere zwischen Gehirn und Computer (pdf).
In C. Maar, E. Pöppel, and T. Christaller, editors, Die Technik auf dem Weg zur Seele, pages 345-352. 1996.
(also available in English).
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269
C. von der Malsburg.
The Coherence Definition of Consciousness (ps, pdf).
In M. Ito, Y. Miyashita, and E. T. Rolls, editors, Cognition, Computation and Consciousness, pages 193 - 204. Oxford University Press, 1997.
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270
C. von der Malsburg.
The Challenge of Organic Computing (pdf), 1999.
Memorandum, Computer Science Department.
[top]
271
C. von der Malsburg.
The What and Why of Binding: The Modeler´s Perspective (ps, pdf).
Neuron, 24(1):95-104, September 1999.
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272
C. von der Malsburg.
Binding problem, neural basis of pdf).
In N. J. Smelser and P. B. Baltes, editors, International Encyclopedia of the Social & Behavioral Sciences, pages 1178-1180. Pergamon, Oxford, 2001.
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273
C. von der Malsburg.
How are neural signals related to each other and to the world? (ps, pdf).
J. Consciousness Studies, 9:47-60, Jan. 2002.
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274
C. von der Malsburg.
Dynamic link architecture (ps, pdf).
In M. Arbib, editor, The Handbook of Brain Theory and Neural Networks, Second Edition, pages 365-368. MIT Press, Cambridge, Mass., 2003.
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275
C. von der Malsburg.
Self-organization in the brain (ps, pdf).
In M. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 1002-1005. The MIT Press, second edition edition, 2003.
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276
C. von der Malsburg.
Self-organization: The unfinished revolution. (ps, pdf).
In G. Greiner and J. Reinhardt, editors, Idea-Finding Symposium for the Frankfurt Institute for Advanced Studies, pages 127-138. 2003.
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277
C. von der Malsburg and E. Bienenstock.
Statistical coding and short-term synaptic plasticity: A scheme for knowledge representation in the brain (pdf).
In F. Fogelman, E. Bienenstock, and G. Weisbuch, editors, Disordered Systems and Biological Organization (NATO advanced research workshop), pages 247-272. Springer, Berlin, Heidelberg, 1986.
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278
C. von der Malsburg and E. Bienenstock.
A Neural Network for the Retrieval of Superimposed Connection Patterns (pdf).
Europhysics Letters, 3(11):1243-1249, June 1987.
[top]
279
C. von der Malsburg and J. Buhmann.
Sensory segmentation with coupled neural oscillators (pdf).
Biological Cybernetics, 67:233-242, 1992.
[top]
280
C. von der Malsburg and J. D. Cowan.
Outline of a Theory for the Ontogenesis of Iso-Orientation Domains in Visual Cortex (pdf).
Biological Cybernetics, 45:49-56, 1982.
[top]
281
C. von der Malsburg, K. Reiser, G. Peters, J. Wieghardt, and K. Okada.
3D Object Representation by 2D Views (pdf).
In ATR Symp. on Face Recognition ´99, Proc., pages 11-12, 1999.
(invited talk).
[top]
282
C. von der Malsburg and W. Schneider.
A Neural Cocktail-Party Processor (pdf).
Biological Cybernetics, 54:29-40, 1986.
[top]
283
C. von der Malsburg and L. Shams.
Role of complex cells in invariant object recognition (abstract) (pdf).
In Proceedings of The Sixth Joint Symposium on Neural Computation, page 87, 1999.
[top]
284
C. von der Malsburg and W. Singer.
Principles of cortical network organization.
In G. Shaw, U. M. Leinhos, and W. von Seelen, editors, Organization of Neural Networks, pages 109-126. VCH Verlagsgesellschaft, Weinheim, 1988.
(Short version of Malsburg and Singer, 1988).
[top]
285
C. von der Malsburg and W. Singer.
Principles of cortical network organization (pdf).
In P. Rakic and W. Singer, editors, Neurobiology of Neocortex, pages 69-99. John Wiley, 1988.
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286
C. von der Malsburg and D. J. Willshaw.
A mechanism for producing continuous neural mappings: Ocularity dominance stripes and ordered retino-tectal projections (pdf).
Afferent and Intrinsic Organization of Laminated Structures in the Brain, Experimental Brain Research(Supplement 1):463-469, 1976.
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287
C. von der Malsburg and D. J. Willshaw.
How to label nerve cells so that they can interconnect in an ordered fashion (pdf).
In Proceedings of the National Academy of Sciences (USA), volume 74, pages 5176-5178, November 1977.
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288
C. von der Malsburg and D. J. Willshaw.
Differential equations for the development of topological (pdf).
In SIAM-AMS Proceedings, volume 13, pages 39-47, 1981.
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289
C. von der Malsburg, R. P. Würtz, and J. C. Vorbrüggen.
Bilderkennung mit dynamischen Neuronennetzen.
In W. Brauer and D. Hernández, editors, Verteilte Künstliche Intelligenz und kooperatives Arbeiten, volume 291 of Informatik-Fachberichte, pages 519-529. Springer, 1991.
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290
C. von der Malsburg and J. Zhu.
Fast dynamic link matching by communicating synapses (ps, pdf).
In Proceedings 7th Joint Symposium on Neural Computation, volume 10, pages 122-129, USC, Los Angeles, CA, May 20 2000.
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291
J. C. Vorbrüggen.
Parallelverarbeitung in Hardware: Optimierung numerischer Routinen auf dem T800 (ps, pdf).
In R. Grebe and C. Ziemann, editors, Parallele Datenverarbeitung mit dem Transputer, pages 9-12, Berlin, Heidelberg, New York, 1991. Springer Verlag.
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292
J. C. Vorbrüggen.
Zwei Modelle zur datengetriebenen Segmentierung visueller Daten.
PhD thesis, Ruhr-Universität Bochum, 1994.
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293
J. C. Vorbrüggen.
Zwei Modelle zur datengetriebenen Segmentierung visueller Daten (html), volume 47 of Reihe Physik.
Verlag Harri Deutsch, Thun, Frankfurt am Main, 1995.
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294
J. C. Vorbrüggen.
Evaluating computation/communication balance in an object recognition task (ps, pdf).
Journal of Systems Architecture, 45(10):749-764, April 1999.
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T. Walther and R. P. Würtz.
Learning to look at humans -- what are the parts of a moving body? (pdf).
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Neural Computation, 2:94-106, 1990.
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G. Westphal.
Feature-Driven Emergence of Model Graphs for Object Recognition and Categorization (pdf).
PhD thesis, University of Lübeck, Germany, 2007.
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Feature-driven emergence of model graphs for object recognition and categorization (pdf).
In K. Bellman, P. Hofmann, C. Müller-Schloer, H. Schmeck, and R. Würtz, editors, Organic Computing - Controlled Emergence, number 06031 in Dagstuhl Seminar Proceedings. Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany, 2006.
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Recognition of pose and illumination of human faces through combination of feature-based and correspondence-based pattern recognizers.
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Combining Feature- and Correspondence-Based Methods for Visual Object Recognition.
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J. Wieghardt.
Learning the Topology of Views: From Images to Objects (pdf).
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Gabor-based feature point tracking with automatically learned constraints (pdf).
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Learning the topology of object views (pdf).
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Pflügers Arch. Suppl. to, 359:463-469, 1975.
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A marker induction mechanism for the establishment of ordered neural mappings; its application to the retinotectal problem (pdf).
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L. Wiskott.
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What is the optimal architecture for visual information routing? (pdf).
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Parametrisierte zweidimensionale Modelle für dreidimensionale Gesichtserkennung.
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PhD thesis, Electrical Engineering Dept., Univ. of Bochum, Germany, jul 2004.
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Image reconstruction from gabor magnitudes (pdf).
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Image Representation by Complex Cell Responses (pdf).
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Gesichtserkennung mit dynamischen neuronalen Netzen.
Spektrum der Wissenschaft, pages 18-22, Apr. 1992.
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Gesichtserkennung mit dynamischen neuronalen Netzwerken.
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Multilayer Dynamic Link Networks for Establishing Image Point Correspondences and Visual Object Recognition (ps, pdf).
PhD thesis, Fakultät für Physik und Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany, Dec. 1994.
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Background invariant face recognition (ps, pdf).
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Building visual correspondence maps -- from neural dynamics to a face recognition system (ps, pdf).
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Correspondence based object recognition.
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Neural networks as a model for visual perception: what is lacking?
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Context dependent feature groups, a proposal for object representation (ps, pdf).
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Neuronal theories and technical systems for face recognition (ps, pdf).
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Object recognition robust under translations, deformations and changes in background (ps, pdf).
IEEE Transactions on Pattern Recognition and Machine Intelligence, 19(7):769-775, July 1997.
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R. P. Würtz.
Biologically inspired methods for model matching and object recognition.
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Extracting symbols from the environment - the concept of correspondence-based object recognition.
In J. Dassow and R. Kruse, editors, Informatik ´98 -- Informatik zwischen Bild und Sprache, pages 107-116. Springer Verlag, 1998.
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Correspondence-based face recognition.
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Neural networks as a model for visual perception: what is lacking? (ps).
Cognitive Systems, 5(2):103-112, 1999.
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Gossiping nets (ps, pdf).
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Gabor phase space molecules for image understanding (ps, pdf).
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Vision and touch for grasping (pdf).
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Face recognition, neurophysiology, and neural technology (pdf).
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Technik und Leistungsfähigkeit automatischer Gesichtserkennung (pdf).
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Organic Computing for face and object recognition (pdf).
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Organic Computing methods for face recognition (pdf).
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Organic Computing for Video Analysis (pdf).
In A. König, M. Köppen, A. Abraham, C. Igel, and N. Kasabov, editors, Seventh International Conference on Hybrid Intelligent Systems, Kaiserslautern, Germany, pages 6-11. IEEE Computer Society Press, 2007.
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R. P. Würtz, editor.
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R. P. Würtz, W. Konen, and K.-O. Behrmann.
How fast can neuronal algorithms match patterns? (ps, pdf).
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R. P. Würtz, W. Konen, and K.-O. Behrmann.
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Neural Networks, 12(1):127-134, 1999.
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R. P. Würtz and T. Lourens.
Corner detection in color images by multiscale combination of end-stopped cortical cells (ps, pdf).
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Corner detection in color images through a multiscale combination of end-stopped cortical cells (ps, pdf).
Image and Vision Computing, 18(6-7):531-541, Apr. 2000.
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Image point correspondences from a wavelet representation and a hierarchical dynamic link network (ps, pdf).
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A hierarchical dynamic link network to solve the visual correspondence problem.
Perception, 25(Suppl.):27-28, 1996.
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A transputer system for the recognition of human faces by labeled graph matching (pdf).
In R. Eckmiller, G. Hartmann, and G. Hauske, editors, Parallel Processing in Neural Systems and Computers, pages 37-41. North Holland, Amsterdam, 1990.
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A transputer-based neural object recognition system (pdf).
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Recognition of human faces by a neuronal graph matching process.
In H. G. Schuster, editor, Applications of Neural Networks, pages 181-200. VCH, Weinheim, 1992.
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S. Zadel.
An algorithm for bootstrapping the core of a biologically inspired motor control system (ps, pdf).
In C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, and B. Sendhoff, editors, Proceedings of the International Conference on Artificial Neural Networks (ICANN´96), Bochum, Germany, July 16-19, volume 1112 of Lecture Notes in Computer Science, pages 629-634, Berlin, Heidelberg, New York, 1996. Springer-Verlag.
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Fast dynamic link matching (ps, pdf).
In Fifth International Conference on Cognitive and Neural Systems, Boston University, May 30 - June 2 2001.
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Learning control units.
In CNS*2002, 2002.
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J. Zhu and C. von der Malsburg.
Learning control units (ps, pdf).
In ICCNS*02, 2002.
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Synapto-synaptic interactions speed up dynamic link matching (ps, pdf).
NeuroComputing, 44:721-728, 2002.
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Maplets for correspondence-based object recognition (pdf).
Neural Networks, 17:1311-1326, 2004.
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Associative memory of connectivity patterns (pdf).
NEUROCOMPUTING 69 (10-12), pages 1305-1308, JUN 2006.
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B. Zitova, J. Flusser, J. Kautsky, and G. Peters.
Feature Point Detection in Multiframe Images (ps).
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