PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2550320

  Siepmann F, Ziegler L, Kortkamp M, Wachsmuth S. Deploying a modeling framework for reusable robot behavior to enable informed strategies for domestic service robots. Robotics and Autonomous Systems. 2014;62(5):619-631.

  PUB | DOI | Download (ext.) | WoS
   
• [6]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2279367

  Tscherepanow M, Kortkamp M, Kammer M. A Hierarchical ART Network for the Stable Incremental Learning of Topological Structures and Associations from Noisy Data. Neural Networks. 2011;24(8):906-916.

  PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [5]
  

  2011 | Bielefelder E-Dissertation | PUB-ID: 2547517

  Kortkamp M. Detecting domestic objects with ensembles of view-tuned support vector machine cascades trained on Web images. Bielefeld: Universität Bielefeld; 2011.

  PUB | PDF
   
• [4]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2617425

  Kortkamp M, Wachsmuth S. View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases. In: International Conference on Artificial Neural Networks. Springer; 2011.

  PUB
   
• [3]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2306776

  Tscherepanow M, Kortkamp M, Kühnel S, Helbach J, Schütz C, Schack T. A Feature Selection Approach for Emulating the Structure of Mental Representations. In: Lu B-L, Zhang L, Kwok J, eds. Neural information processing : 18th international conference, ICONIP 2011, Shanghai, China, November 13-17, 2011; proceedings. Lecture Notes in Computer Science, 7064. Springer; 2011: 639-648.

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• [2]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034776

  Ziegler L, Siepmann F, Kortkamp M, Wachsmuth S. Towards an Informed Search Behavior for Domestic Robots. In: Proceedings of SIMPAR 2010 Workshops. 2010: 241-250.

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• [1]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034693

  Kortkamp M, Wachsmuth S. Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas. In: International Conference on Artificial Neural Networks. Thessaloniki, Greece: Springer; 2010: 188-197.

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