10 Publikationen

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

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