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Friedhelm Schwenker: [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
    Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2001, pp:283-290 [Conf]
  6. 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]
  7. Friedhelm Schwenker, Günther Palm
    Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1995, pp:546-553 [Conf]
  8. 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]
  9. Friedhelm Schwenker
    Classification of Bioacoustic Time Series by Training a Decision Fusion mapping. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:555-560 [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. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. Christian Thiel, Stefan Scherer, Friedhelm Schwenker
    Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:156-165 [Conf]

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


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


  30. Learning to play Tetris applying reinforcement learning methods. [Citation Graph (, )][DBLP]


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


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


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


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


  35. Co-training by Committee: A New Semi-supervised Learning Framework. [Citation Graph (, )][DBLP]


  36. Hierarchical support vector machines for multi-class pattern recognition. [Citation Graph (, )][DBLP]


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


  38. Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion. [Citation Graph (, )][DBLP]


  39. Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition. [Citation Graph (, )][DBLP]


  40. Multiple Classifier Systems for the Recogonition of Human Emotions. [Citation Graph (, )][DBLP]


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


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


  43. Experiments with Supervised Fuzzy LVQ. [Citation Graph (, )][DBLP]


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


  45. Parallelized Kernel Patch Clustering. [Citation Graph (, )][DBLP]


  46. Maximum Echo-State-Likelihood Networks for Emotion Recognition. [Citation Graph (, )][DBLP]


  47. Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. [Citation Graph (, )][DBLP]


  48. A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences. [Citation Graph (, )][DBLP]


  49. An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks. [Citation Graph (, )][DBLP]


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


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