The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Günther Palm: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Axel Baune, Steffen Simon, Hans A. Kestler, Friedhelm Schwenker, Günther Palm
    Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. [Citation Graph (0, 0)][DBLP]
    AMS, 1999, pp:254-261 [Conf]
  2. Christian Dietrich, Friedhelm Schwenker, Günther Palm
    Multiple Classifier Systems for the Recognition of Orthoptera Songs. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:474-481 [Conf]
  3. Laine Kahsay, Friedhelm Schwenker, Günther Palm
    Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2005, pp:334-341 [Conf]
  4. Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm
    A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:27-35 [Conf]
  5. Friedhelm Schwenker, Hans A. Kestler, M. Höher, Günther Palm
    Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1995, pp:387-394 [Conf]
  6. Friedhelm Schwenker, Günther Palm
    Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1995, pp:546-553 [Conf]
  7. Friedhelm Schwenker, Steffen Simon, Günther Palm
    Ein hierarchischer neuronaler Klassifikator für die Erkennung von Einzelzeichen in mathematischen Formeltexten. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1998, pp:410-417 [Conf]
  8. Günther Palm, Gerhard K. Kraetzschmar
    SFB 527: Integration symbolischer und subsymbolischer Informationsverarbeitung in adaptiven sensomotorischen Systemen. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1997, pp:111-120 [Conf]
  9. Gerhard K. Kraetzschmar, Stefan Sablatnög, Stefan Enderle, Günther Palm
    Application of Neurosymbolic Integration for Environment Modelling in Mobile Robots. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:387-401 [Conf]
  10. Christian Dietrich, Friedhelm Schwenker, Günther Palm
    Fusion Architectures for the Classification of Time Series. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:749-758 [Conf]
  11. Franz Mechsner, Günther Palm
    The Cerebellum as a ``Coupling Machine''. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:661-666 [Conf]
  12. Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm
    Hierarchical Object Classification for Autonomous Mobile Robots. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:831-836 [Conf]
  13. Thomas Wennekers, Günther Palm
    Controlling the Speed of Synfire Chains. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:451-456 [Conf]
  14. Rebecca Fay, Friedhelm Schwenker, Günther Palm
    Incremental learning in hierarchical neural networks for object recognition. [Citation Graph (0, 0)][DBLP]
    ICINCO, 2005, pp:298-303 [Conf]
  15. Andreas Knoblauch, Heiner Markert, Günther Palm
    An Associative Cortical Model of Language Understanding and Action Planning. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:405-414 [Conf]
  16. Hans A. Kestler, Steffen Simon, Axel Baune, Friedhelm Schwenker, Günther Palm
    Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration. [Citation Graph (0, 0)][DBLP]
    KI, 1999, pp:267-279 [Conf]
  17. Günther Palm
    Informationsverarbeitung in neuronalen Netzen. [Citation Graph (0, 0)][DBLP]
    KIFS, 1989, pp:299-302 [Conf]
  18. Christian Dietrich, Friedhelm Schwenker, Günther Palm
    Classification of Time Series Utilizing Temporal and Decision Fusion. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:378-387 [Conf]
  19. Friedhelm Schwenker, Günther Palm
    Tree-Structured Support Vector Machines for Multi-class Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:409-417 [Conf]
  20. Christian Thiel, Friedhelm Schwenker, Günther Palm
    Using Dempster-Shafer Theory in MCF Systems to Reject Samples. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:118-127 [Conf]
  21. Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, Heiner Markert, Günther Palm
    Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:118-143 [Conf]
  22. Heiner Markert, Andreas Knoblauch, Günther Palm
    Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:107-117 [Conf]
  23. Gerd Mayer, Ulrich Kaufmann, Gerhard K. Kraetzschmar, Günther Palm
    Neural Robot Detection in RoboCup. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:349-361 [Conf]
  24. Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw
    Towards Biomimetic Neural Learning for Intelligent Robots. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:1-18 [Conf]
  25. Andreas Knoblauch, Günther Palm
    Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:407-427 [Conf]
  26. Friedrich T. Sommer, Günther Palm
    Bidirectional Retrieval from Associative Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  27. Hans A. Kestler, André Müller, Malte Buchholz, Thomas M. Gress, Günther Palm
    A Perceptually Optimized Scheme for Visualizing Gene Expression Ratios with Confidence Values. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:73-84 [Conf]
  28. Stefan Enderle, Marcus Ritter, Dieter Fox, Stefan Sablatnög, Gerhard K. Kraetzschmar, Günther Palm
    Vision-Based Localization in RoboCup Environments. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:291-296 [Conf]
  29. Gerhard K. Kraetzschmar, Stefan Enderle, Stefan Sablatnög, Thomas Boß, Mark Dettinger, Hans Braxmeier, Heiko Folkerts, Markus Klingler, Dominik Maschke, Gerd Mayer, Markus Müller, Alexander Neubeck, Marcus Ritter, Heiner Seidl, Robert Wörtz, Günther Palm
    The Ulm Sparrows: Research into Sensorimotor Integration, Agency Learning, and Multiagent Cooperation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:452-457 [Conf]
  30. Ulrich Kaufmann, Gerd Mayer, Gerhard K. Kraetzschmar, Günther Palm
    Visual Robot Detection in RoboCup Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:262-273 [Conf]
  31. Gerhard K. Kraetzschmar, Hans Utz, Stefan Sablatnög, Stefan Enderle, Günther Palm
    Miro - Middleware for Cooperative Robotics. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:411-416 [Conf]
  32. Stefan Sablatnög, Stefan Enderle, Mark Dettinger, Thomas Boß, Mohammad Ali Livani, Michael Dietz, Jan Giebel, Urban Meis, Heiko Folkerts, Alexander Neubeck, Peter Schaeffer, Marcus Ritter, Hans Braxmeier, Dominik Maschke, Gerhard K. Kraetzschmar, Jörg Kaiser, Günther Palm
    The Ulm Sparrows 99. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:638-641 [Conf]
  33. Hans Utz, Gerd Mayer, Dominik Maschke, Alexander Neubeck, Peter Schaeffer, Philipp Baer, Ingmar Baetge, Jan Fischer, Roland Holzer, Markus Lauer, Alexander Reisser, Florian Sterk, Günther Palm, Gerhard K. Kraetzschmar
    The Ulm Sparrows 2001. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:677-680 [Conf]
  34. Stefan Enderle, Heiko Folkerts, Marcus Ritter, Stefan Sablatnög, Gerhard K. Kraetzschmar, Günther Palm
    Vision-Based Robot Localization Using Sporadic Features. [Citation Graph (0, 0)][DBLP]
    RobVis, 2001, pp:35-42 [Conf]
  35. Günther Palm, Ulrich Rückert, Alfred Ultsch
    Wissensverarbeitung in neuronaler Architektur. [Citation Graph (0, 0)][DBLP]
    Wissensbasierte Systeme, 1991, pp:508-518 [Conf]
  36. Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm
    Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:198-209 [Conf]
  37. Neamat El Gayar, Friedhelm Schwenker, Günther Palm
    A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:67-80 [Conf]
  38. Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker
    On the Effects of Constraints in Semi-supervised Hierarchical Clustering. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:57-66 [Conf]
  39. Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler
    Orientation Histograms for Face Recognition. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:253-259 [Conf]
  40. Marcus Borst, Gerald Langner, Günther Palm
    A biologically motivated neural network for phase extraction from complex sounds. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2004, v:90, n:2, pp:98-104 [Journal]
  41. Andreas Knoblauch, Günther Palm
    Scene segmentation by spike synchronization in reciprocally connected visual areas. I. Local effects of cortical feedback. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:87, n:3, pp:151-167 [Journal]
  42. Andreas Knoblauch, Günther Palm
    Scene segmentation by spike synchronization in reciprocally connected visual areas. II. Global assemblies and synchronization on larger space and time scales. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:87, n:3, pp:168-184 [Journal]
  43. Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler, Helge Klaus Rieder, Günther Palm
    Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:51, n:, pp:265-275 [Journal]
  44. Thomas Wennekers, Günther Palm
    How imprecise is neuronal synchronization? [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:579-585 [Journal]
  45. Christian Dietrich, Günther Palm, Friedhelm Schwenker
    Decision templates for the classification of bioacoustic time series. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2003, v:4, n:2, pp:101-109 [Journal]
  46. Hans A. Kestler, Stefan Sablatnög, Steffen Simon, Stefan Enderle, Axel Baune, Gerhard K. Kraetzschmar, Friedhelm Schwenker, Günther Palm
    Concurrent Object Identification and Localization for a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    KI, 2000, v:14, n:4, pp:23-29 [Journal]
  47. Harold Huning, Helmut Glunder, Günther Palm
    Synaptic Delay Learning in Pulse-Coupled Neurons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:3, pp:555-565 [Journal]
  48. Hans J. Bentz, Michael Hagstroem, Günther Palm
    Information storage and effective data retrieval in sparse matrices. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1989, v:2, n:4, pp:289-293 [Journal]
  49. Andreas Knoblauch, Günther Palm
    Pattern separation and synchronization in spiking associative memories and visual areas. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:6-7, pp:763-780 [Journal]
  50. Friedhelm Schwenker, Hans A. Kestler, Günther Palm
    Three learning phases for radial-basis-function networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:4-5, pp:439-458 [Journal]
  51. Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm
    Iterative retrieval of sparsely coded associative memory patterns. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:3, pp:445-455 [Journal]
  52. Friedrich T. Sommer, Günther Palm
    Improved bidirectional retrieval of sparse patterns stored by Hebbian learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:2, pp:281-297 [Journal]
  53. Christian Dietrich, Günther Palm, Klaus Riede, Friedhelm Schwenker
    Classification of bioacoustic time series based on the combination of global and local decisions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:12, pp:2293-2305 [Journal]
  54. Hari Krishna Maganti, Stefan Scherer, Günther Palm
    A Novel Feature for Emotion Recognition in Voice Based Applications. [Citation Graph (0, 0)][DBLP]
    ACII, 2007, pp:710-711 [Conf]

  55. Finding Rooms on Probabilistic Quadtrees. [Citation Graph (, )][DBLP]


  56. Information Integration in a Multi-Stage Object Classifier. [Citation Graph (, )][DBLP]


  57. Detecting zebra crossings utilizing AdaBoost. [Citation Graph (, )][DBLP]


  58. Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory. [Citation Graph (, )][DBLP]


  59. Word recognition and incremental learning based on neural associative memories and hidden Markov models. [Citation Graph (, )][DBLP]


  60. Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training. [Citation Graph (, )][DBLP]


  61. Coexistence of Cell Assemblies and STDP. [Citation Graph (, )][DBLP]


  62. Semi-supervised Learning for Regression with Co-training by Committee. [Citation Graph (, )][DBLP]


  63. The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech. [Citation Graph (, )][DBLP]


  64. Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs. [Citation Graph (, )][DBLP]


  65. Simple Constraints for Zero-Lag Synchronous Oscillations under STDP. [Citation Graph (, )][DBLP]


  66. Neural Associative Memories and Hidden Markov Models for Speech Recognition. [Citation Graph (, )][DBLP]


  67. Radial-basis-function networks: learning and applications. [Citation Graph (, )][DBLP]


  68. Real-Time Emotion Recognition Using Echo State Networks. [Citation Graph (, )][DBLP]


  69. Learning Robot-Environment Interaction Using Echo State Networks. [Citation Graph (, )][DBLP]


  70. Comparison of Neural Classification Algorithms Applied to Land Cover Mapping. [Citation Graph (, )][DBLP]


  71. Real-Time Emotion Recognition from Speech Using Echo State Networks. [Citation Graph (, )][DBLP]


  72. Sentence Understanding and Learning of New Words with Large-Scale Neural Networks. [Citation Graph (, )][DBLP]


  73. Visual Top-Down Attention Framework for Robots in Dynamic Environments. [Citation Graph (, )][DBLP]


  74. Neural Fields for Controlling Formation of Multiple Robots. [Citation Graph (, )][DBLP]


  75. Emotion Recognition from Speech: Stress Experiment. [Citation Graph (, )][DBLP]


  76. The PIT Corpus of German Multi-Party Dialogues. [Citation Graph (, )][DBLP]


  77. Detecting higher-order interactions among the spiking events in a group of neurons. [Citation Graph (, )][DBLP]


  78. Perceptual rivalry between illusory and real contours. [Citation Graph (, )][DBLP]


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


Search in 0.017secs, Finished in 0.021secs
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