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Thomas Martinetz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
    Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2006, pp:428-433 [Conf]
  2. Amir Madany Mamlouk, Jan T. Kim, Erhardt Barth, Michael Brauckmann, Thomas Martinetz
    One-Class Classification with Subgaussians. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:346-353 [Conf]
  3. Thomas Martinetz
    MinOver Revisited for Incremental Support-Vector-Classification. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:187-194 [Conf]
  4. Daniel Polani, Thomas Martinetz, Jan T. Kim
    An Information-Theoretic Approach for the Quantification of Relevance. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:704-713 [Conf]
  5. Claus O. Wilke, Christopher Ronnewinkel, Thomas Martinetz
    Molecular Evolution in Time-Dependent Environments. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:417-421 [Conf]
  6. Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller
    Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:509-514 [Conf]
  7. Daniel Schneegaß, Thomas Martinetz, Michael Clausohm
    OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:575-580 [Conf]
  8. Martin Böhme, Michael Dorr, Thomas Martinetz, Erhardt Barth
    Gaze-contingent temporal filtering of video. [Citation Graph (0, 0)][DBLP]
    ETRA, 2006, pp:109-115 [Conf]
  9. Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz
    Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1994, pp:159-166 [Conf]
  10. Jan T. Kim, Thomas Martinetz, Daniel Polani
    On the Effects of Transcription Factor Properties on the Information Content of Binding Sites. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2001, pp:192-194 [Conf]
  11. Martin Böhme, Christopher Krause, Thomas Martinetz, Erhardt Barth
    Saliency Extraction for Gaze-Contingent Displays. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung (2), 2004, pp:646-650 [Conf]
  12. Thomas Martinetz, Kai Labusch, Daniel Schneegaß
    SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:301-306 [Conf]
  13. Daniel Schneegaß, Kai Labusch, Thomas Martinetz
    MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:150-158 [Conf]
  14. Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, Thomas Martinetz
    Guiding Eye Movements for Better Communication and Augmented Vision. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:1-8 [Conf]
  15. Michael Dorr, Martin Böhme, Thomas Martinetz, Erhardt Barth
    Gaze-Contingent Spatio-temporal Filtering in a Head-Mounted Display. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:205-207 [Conf]
  16. André Meyer, Martin Böhme, Thomas Martinetz, Erhardt Barth
    A Single-Camera Remote Eye Tracker. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:208-211 [Conf]
  17. Martin Haker, André Meyer, Daniel Polani, Thomas Martinetz
    A Method for Incorporation of New Evidence to Improve World State Estimation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:362-367 [Conf]
  18. Daniel Polani, Thomas Martinetz
    Team Description for Lucky Lübeck - Evidence-Based World State Estimation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:481-484 [Conf]
  19. Thomas Martinetz, Amir Madany Mamlouk, Cicero Mota
    Fast and Easy Computation of Approximate Smallest Enclosing Balls. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2006, pp:163-170 [Conf]
  20. Stan Berkovitch, Philippe Dalger, Ted Hesselroth, Thomas Martinetz, Benoît Noël, Jörg A. Walter, Klaus Schulten
    Vector Quantization Algorithm for Time Series Prediction and Visuo-Motor Control of Robots. [Citation Graph (0, 0)][DBLP]
    Wissensbasierte Systeme, 1991, pp:443-447 [Conf]
  21. Christopher Ronnewinkel, Claus O. Wilke, Thomas Martinetz
    Genetic Algorithms in Time-Dependent Environments [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  22. Amir Madany Mamlouk, Hannah Sharp, Kerstin M. L. Menne, Ulrich G. Hofmann, Thomas Martinetz
    Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:275-282 [Journal]
  23. Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, Erhardt Barth
    Eye movement predictions on natural videos. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:1996-2004 [Journal]
  24. Jan T. Kim, Jan E. Gewehr, Thomas Martinetz
    Binding Matrix: a Novel Approach for Binding Site Recognition. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:2, pp:289-308 [Journal]
  25. Thomas Martinetz, Klaus Schulten
    Topology representing networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:3, pp:507-522 [Journal]
  26. Helge Ritter, Thomas Martinetz, Klaus Schulten
    Topology-conserving maps for learning visuo-motor-coordination. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1989, v:2, n:3, pp:159-168 [Journal]
  27. Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
    Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:109-118 [Conf]

  28. Simple Incremental One-Class Support Vector Classification. [Citation Graph (, )][DBLP]

  29. Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera. [Citation Graph (, )][DBLP]

  30. Face Detection Using a Time-of-Flight Camera. [Citation Graph (, )][DBLP]

  31. Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments. [Citation Graph (, )][DBLP]

  32. Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification. [Citation Graph (, )][DBLP]

  33. The Intrinsic Recurrent Support Vector Machine. [Citation Graph (, )][DBLP]

  34. Learning Data Representations with Sparse Coding Neural Gas. [Citation Graph (, )][DBLP]

  35. A software framework for simulating eye trackers. [Citation Graph (, )][DBLP]

  36. Deictic Gestures with a Time-of-Flight Camera. [Citation Graph (, )][DBLP]

  37. Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. [Citation Graph (, )][DBLP]

  38. Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. [Citation Graph (, )][DBLP]

  39. Multimodal Sparse Features for Object Detection. [Citation Graph (, )][DBLP]

  40. The Support Feature Machine for Classifying with the Least Number of Features. [Citation Graph (, )][DBLP]

  41. A Learned Saliency Predictor for Dynamic Natural Scenes. [Citation Graph (, )][DBLP]

  42. Fast model selection for MaxMinOver-based training of support vector machines. [Citation Graph (, )][DBLP]

  43. Uncertainty propagation for quality assurance in Reinforcement Learning. [Citation Graph (, )][DBLP]

  44. Welding Inspection using Novel Specularity Features and a One-class SVM. [Citation Graph (, )][DBLP]

  45. Visibility of temporal blur on a gaze-contingent display. [Citation Graph (, )][DBLP]

  46. Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas. [Citation Graph (, )][DBLP]

  47. On the boundedness of an iteration involving points on the hypersphere [Citation Graph (, )][DBLP]

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