PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [7]
  

  2010 | Bielefelder E-Dissertation | PUB-ID: 2486114

  Denecke, A., 2010. Hypothesis-based image segmentation for object learning and recognition, Bielefeld: Universität Bielefeld.

  PUB | PDF
   
• [6]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969803

  Ayllon Clemente, I., et al., 2010. Incremental Word Learning Using Large-Margin Discriminative Training and Variance Floor Estimation. In Proceedings INTERSPEECH.

  PUB | Datei | Download (ext.)
   
• [5]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035

  Denecke, A., et al., 2010. Figure-ground segmentation using metrics adaptation in levelset methods. In European Symposium on Artificial Neural Networks. pp. 417-422.

  PUB
   
• [4]
  

  2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815

  Denecke, A., et al., 2009. Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing, 72(7-9), p 1470-1482.

  PUB | DOI | WoS
   
• [3]
  

  2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969825

  Denecke, A., et al., 2009. Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. In International Workshop on Self-Organizing Maps (WSOM). pp. 45-53.

  PUB | DOI
   
• [2]
  

  2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969830

  Kirstein, S., et al., 2009. A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing, 1(4), p 291-304.

  PUB | DOI
   
• [1]
  

  2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096

  Denecke, A., et al., 2008. Robust object segmentation by adaptive metrics in Generalized LVQ. In Proc. of the European Symposium on Artificial Neural Networks (ESANN). pp. 319-324.

  PUB