10 Publikationen

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  • [10]
    2013 | Bielefelder E-Dissertation | PUB-ID: 2673521 OA
    Großekathöfer, U., 2013. Ordered Means Models for recognition, reproduction, and organization of interaction time series, Bielefeld: Bielefeld University.
    PUB | PDF
     
  • [9]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2456445 OA
    Großekathöfer, U., et al., 2012. Low Latency Recognition and Reproduction of Natural Gesture Trajectories. In ICPRAM (Int.Conf. on Pattern Recognition Applications and Methods). http://www.scitepress.org/DigitalLibrary, pp. 154-161.
    PUB | PDF
     
  • [8]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2517209
    Großekathöfer, U., et al., 2012. Learning Hierarchical Prototypes of Motion Time Series for Interactive Systems. In Proceedings of the 1st Workshop on Machine Learning for Interactive Systems. Montpellier, France, pp. 37-42.
    PUB
     
  • [7]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2289120
    Großhauser, T., Großekathöfer, U., & Hermann, T., 2012. Adaptive and Reactive Sensor Technology for Musical Instruments: Teaching, Exercising and Pedagogy. In A. Mornell, ed. Art in Motion II - Motor Skills, Motivation, and Musical Practice. Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien: Peter Lang, pp. 195-224.
    PUB
     
  • [6]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2396357
    Großekathöfer, U., et al., 2011. Learning of Object Manipulation Operations from Continuous Multimodal Input. In IEEE/RAS International Conference on Humanoid Robots 2011.
    PUB | DOI
     
  • [5]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2509450 OA
    Barchunova, A., et al., 2011. Unsupervised Segmentation of Object Manipulation Operations from Multimodal Input. In B. Hammer & T. Villmann, eds. Machine Learning Reports. New Challenges in Neural Computation. pp. 9.
    PUB | PDF
     
  • [4]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1987379 OA
    Wöhler, N., et al., 2010. A calibration-free head gesture recognition system with online capability. In International Conference on Pattern Recognition. IEEE Computer Society, pp. 3814-3817.
    PUB | PDF | DOI
     
  • [3]
    2010 | Datenpublikation | PUB-ID: 2761287 OA
    Wöhler, N., et al., 2010. Supplementary Material for "A calibration-free head gesture recognition system with online capability", Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [2]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017200 OA
    Großhauser, T., Großekathöfer, U., & Hermann, T., 2010. New Sensors and Pattern Recognition Techniques for String Instruments. In K. Beilharz, et al., eds. Proceedings of the 2010 Conference on New Interfaces for Musical Expression++ (NIME 2010), Sydney, Australia. pp. 271-276.
    PUB | PDF
     
  • [1]
    2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714356
    Kaper, M., et al., 2004. BCI Competition 2003 - Dataset IIb: Support Vector Machines for the P300 speller paradigm. IEEE Transactions on Biomedical Engineering, 51(6), p 1073-1076.
    PUB | DOI | WoS | PubMed | Europe PMC
     

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