The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Klaus Obermayer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mario Südholt, Christian Piepenbrock, Klaus Obermayer, Peter Pepper
    Solving large systems of differential equations in parallel using covers and skeletons. [Citation Graph (0, 0)][DBLP]
    Algorithmic Languages and Calculi, 1997, pp:132-159 [Conf]
  2. Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess
    A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2000, pp:28-32 [Conf]
  3. Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess
    Comparison of Different 3D Edge Detection Methods to Define Landmarks for Point-Based Warping in Autoradiographic Brain Imaging. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2002, pp:318-321 [Conf]
  4. Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess
    Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1999, pp:417-421 [Conf]
  5. Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer
    Blind Signal Separation from Optical Imaging Data. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2000, pp:91-98 [Conf]
  6. Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer
    Gaussian Process Regression: Active Data Selection and Test Point Rejection. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2000, pp:27-34 [Conf]
  7. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:237-242 [Conf]
  8. Ute Bauer, Péter Adorján, Michael Scholz, Jonathan B. Levitt, Jennifer S. Lund, Klaus Obermayer
    On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:213-218 [Conf]
  9. Matthias Burger, Thore Graepel, Klaus Obermayer
    Phase Transitions in Soft Topographic Vector Quantization. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:619-624 [Conf]
  10. Christian Piepenbrock, Helge Ritter, Klaus Obermayer
    Cortical Map Development Driven by Spontaneous Retinal Activity Waves. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:427-432 [Conf]
  11. Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer
    Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:189-194 [Conf]
  12. Roland Vollgraf, Ingo Schießl, Klaus Obermayer
    Blind Source Separation of Single Components from Linear Mixtures. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:509-514 [Conf]
  13. Johannes Mohr, Andreas Hess, Michael Scholz, Klaus Obermayer
    Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:1089-1092 [Conf]
  14. Manuel Andre Gaudnek, Andreas Hess, Klaus Obermayer, Lubos Budinsky, Kay Brune, Michael Sibila
    Geometric reconstruction of the rat vascular system imaged by MRA. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:1278-1281 [Conf]
  15. Péter Érdi, Ádám Kepecs, Máté Lengyel, Klaus Obermayer, Zoltán Szatmáry
    Dynamics of the Hippocampus: Multiple Strategies. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:777-780 [Conf]
  16. Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer
    Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:64-69 [Conf]
  17. Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer
    The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:90-95 [Conf]
  18. Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer
    Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:669-672 [Conf]
  19. Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer
    A New Method for Tracking Modulations in Tonal Music in Audio Data Format. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:270-278 [Conf]
  20. Lars Schwabe, Péter Adorján, Klaus Obermayer
    A Dynamic Cortical Amplifier Model for Fast Information Processing. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:431-435 [Conf]
  21. Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer
    Gaussian Process Regression: Active Data Selection and Test Point Rejection. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:241-246 [Conf]
  22. Cornelius Weber, Klaus Obermayer
    Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:608-613 [Conf]
  23. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:174-187 [Conf]
  24. Cornelius Weber, Klaus Obermayer
    Emergence of Modularity within One Sheet of Neurons: A Model Comparison. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:53-67 [Conf]
  25. Péter Adorján, Klaus Obermayer
    Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:76-82 [Conf]
  26. Péter Adorján, Lars Schwabe, Christian Piepenbrock, Klaus Obermayer
    Recurrent Cortical Competition: Strengthen or Weaken? [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:89-95 [Conf]
  27. Matthias Burger, Thore Graepel, Klaus Obermayer
    An Annealed Self-Organizing Map for Source Channel Coding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  28. E. Erwin, Klaus Obermayer, Klaus Schulten
    A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:93-100 [Conf]
  29. Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer
    Classification on Pairwise Proximity Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:438-444 [Conf]
  30. Thore Graepel, Ralf Herbrich, Klaus Obermayer
    Bayesian Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:456-462 [Conf]
  31. Sepp Hochreiter, Michael Mozer, Klaus Obermayer
    Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:545-552 [Conf]
  32. Sepp Hochreiter, Klaus Obermayer
    Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:889-896 [Conf]
  33. Johannes Mohr, Klaus Obermayer
    A Topographic Support Vector Machine: Classification Using Local Label Configurations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  34. Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel
    Development of Orientation and Ocular Dominance Columns in Infant Macaques. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:543-550 [Conf]
  35. Klaus Obermayer, Helge Ritter, Klaus Schulten
    Development and Spatial Structure of Cortical Feature Maps: A Model Study. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:11-17 [Conf]
  36. Klaus Obermayer, Klaus Schulten, Gary G. Blasdel
    A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:83-90 [Conf]
  37. Christian Piepenbrock, Klaus Obermayer
    The Role of Lateral Cortical Competition in Ocular Dominance Development. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:139-145 [Conf]
  38. Holger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer
    Application of Blind Separation of Sources to Optical Recording of Brain Activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:949-955 [Conf]
  39. Roland Vollgraf, Klaus Obermayer
    Multi Dimensional ICA to Separate Correlated Sources. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:993-1000 [Conf]
  40. Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer
    Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  41. Gregor Wenning, Klaus Obermayer
    Activity Driven Adaptive Stochastic Resonance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:301-308 [Conf]
  42. Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess
    Performance of 3D Landmark Detection Methods for Point-Based Warping in Autoradiographic Brain Imaging. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2002, pp:269-273 [Conf]
  43. Rainer Pielot, Eckart D. Gundelfinger, Andreas Hess, Michael Scholz, Klaus Obermayer
    Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:264-268 [Conf]
  44. Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer
    A new summarization method for affymetrix probe level data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:8, pp:943-949 [Journal]
  45. Akhil R. Garg, Klaus Obermayer, Basabi Bhaumik
    Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2005, v:15, n:1-2, pp:55-70 [Journal]
  46. Péter Adorján, György Barna, Péter Érdi, Klaus Obermayer
    A statistical neural field approach to orientation selectivity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:313-318 [Journal]
  47. Hauke Bartsch, Klaus Obermayer
    A structure preserving image transformation as the goal of visual sensory coding. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:729-734 [Journal]
  48. Hauke Bartsch, Klaus Obermayer
    Second-order statistics of natural images. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:467-472 [Journal]
  49. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    The influence of threshold variability on the response of visual cortical neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:37-43 [Journal]
  50. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    Contextual effects by short range connections in a mean-field model of V1. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:475-481 [Journal]
  51. Thore Graepel, Matthias Burger, Klaus Obermayer
    Self-organizing maps: Generalizations and new optimization techniques. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:21, n:1-3, pp:173-190 [Journal]
  52. Thomas Hoch, Gregor Wenning, Klaus Obermayer
    Adaptation using local information for maximizing the global cost. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:541-546 [Journal]
  53. Thomas Hoch, Gregor Wenning, Klaus Obermayer
    The effect of correlations in the background activity on the information transmission properties of neural populations. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:365-370 [Journal]
  54. Jacob Kanev, Gregor Wenning, Klaus Obermayer
    Approximating the response-stimulus correlation for the integrate-and-fire neuron. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:47-52 [Journal]
  55. Christian Piepenbrock, Klaus Obermayer
    Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:477-482 [Journal]
  56. Lars Schwabe, Péter Adorján, Klaus Obermayer
    Spike-frequency adaptation as a mechanism for dynamic coding in V1. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:351-358 [Journal]
  57. Gregor Wenning, Klaus Obermayer
    Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:225-231 [Journal]
  58. E. Erwin, Klaus Obermayer, Klaus Schulten
    Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:3, pp:425-468 [Journal]
  59. Thore Graepel, Klaus Obermayer
    A Stochastic Self-Organizing Map for Proximity Data. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:1, pp:139-155 [Journal]
  60. Sepp Hochreiter, Klaus Obermayer
    Support Vector Machines for Dyadic Data. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:6, pp:1472-1510 [Journal]
  61. Klaus Obermayer, Gary G. Blasdel
    Singularities in Primate Orientation Maps. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:3, pp:555-575 [Journal]
  62. T. Müller, Martin Stetter, Mark Hübener, F. Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer
    An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:11, pp:2573-2595 [Journal]
  63. Christian Piepenbrock, Helge Ritter, Klaus Obermayer
    The Joint Development of Orientation and Ocular Dominance: Role of Constraints. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:5, pp:959-970 [Journal]
  64. Sambu Seo, Klaus Obermayer
    Soft Learning Vector Quantization. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:7, pp:1589-1604 [Journal]
  65. Nigel M. Allinson, Hujun Yin, Klaus Obermayer
    Introduction: new developments in self-organising maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:943-0 [Journal]
  66. Gary G. Blasdel, Klaus Obermayer
    Putative strategies of scene segmentation in monkey visual cortex. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:6-7, pp:865-881 [Journal]
  67. Lars Schwabe, Klaus Obermayer
    Modeling the adaptive visual system: a survey of principled approaches. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:9, pp:1353-1371 [Journal]
  68. Sambu Seo, Klaus Obermayer
    Self-organizing maps and clustering methods for matrix data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1211-1229 [Journal]
  69. Christian Piepenbrock, Helge Ritter, Klaus Obermayer
    Linear Correlation-Based Learning Models Require a Two-Stage Process for the Development of Orientation and Ocular Dominance. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1996, v:3, n:1, pp:31-37 [Journal]
  70. Klaus Obermayer, Helge Ritter, Klaus Schulten
    Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1990, v:14, n:3, pp:381-404 [Journal]
  71. Anca Dima, Michael Scholz, Klaus Obermayer
    Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2002, v:11, n:7, pp:790-801 [Journal]
  72. Marcel Stimberg, Thomas Hoch, Klaus Obermayer
    The effect of background noise on the precision of pulse packet propagation in feed-forward networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1824-1828 [Journal]

  73. Personalized Recommendations for the Web 3D. [Citation Graph (, )][DBLP]


  74. Geometric Reconstruction of the Vascular System of the Rat Brain Imaged by MRA. [Citation Graph (, )][DBLP]


  75. Adaptive Threshold Masking. [Citation Graph (, )][DBLP]


  76. 3D Reconstruction of Neurons from Confocal Image Stacks and Visualization of Computational Modeling Experiments. [Citation Graph (, )][DBLP]


  77. Measuring the Reliability of Geometries in Magnet Resonance Angiography A Reference for Multimodal Image Registration?. [Citation Graph (, )][DBLP]


  78. Algorithms for the Sample Mean of Graphs. [Citation Graph (, )][DBLP]


  79. Hyperincident connected components of tagging networks. [Citation Graph (, )][DBLP]


  80. Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies. [Citation Graph (, )][DBLP]


  81. Automated Microarray Classification Based on P-SVM Gene Selection. [Citation Graph (, )][DBLP]


  82. A New Incremental Pairwise Clustering Algorithm. [Citation Graph (, )][DBLP]


  83. Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings. [Citation Graph (, )][DBLP]


  84. Optimality of LSTD and its Relation to MC. [Citation Graph (, )][DBLP]


  85. Sparse Optimization for Second Order Kernel Methods. [Citation Graph (, )][DBLP]


  86. Dynamic Hyperparameter Scaling Method for LVQ Algorithms. [Citation Graph (, )][DBLP]


  87. P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. [Citation Graph (, )][DBLP]


  88. On the sample mean of graphs. [Citation Graph (, )][DBLP]


  89. Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. [Citation Graph (, )][DBLP]


  90. Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1. [Citation Graph (, )][DBLP]


  91. Large Sample Statistics in the Domain of Graphs. [Citation Graph (, )][DBLP]


  92. Learning Graph Quantization. [Citation Graph (, )][DBLP]


  93. Distance Measures in Query Space: How Strongly to Use Feedback From Past Queries. [Citation Graph (, )][DBLP]


  94. Tag spam creates large non-giant connected components. [Citation Graph (, )][DBLP]


  95. The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning. [Citation Graph (, )][DBLP]


  96. A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. [Citation Graph (, )][DBLP]


  97. Erratum. [Citation Graph (, )][DBLP]


  98. Self-organizing maps: stationary states, metastability and convergence rate. [Citation Graph (, )][DBLP]


  99. Self-organizing maps: ordering, convergence properties and energy functions. [Citation Graph (, )][DBLP]


  100. Fast model-based protein homology detection without alignment. [Citation Graph (, )][DBLP]


  101. A Necessary and Sufficient Condition for Graph Matching Being Equivalent to the Maximum Weight Clique Problem [Citation Graph (, )][DBLP]


  102. Elkan's k-Means for Graphs [Citation Graph (, )][DBLP]


  103. Graph Quantization [Citation Graph (, )][DBLP]


  104. Accelerating Competitive Learning Graph Quantization [Citation Graph (, )][DBLP]


Search in 0.861secs, Finished in 0.867secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002