PUB - Publikationen an der Universität Bielefeld

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• [13]
  

  2016 | Bielefelder E-Dissertation | PUB-ID: 2902065

  Hofmann, Daniela. 2016. Learning vector quantization for proximity data. Bielefeld: Universität Bielefeld.

  PUB | PDF
   
• [12]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2695196

  Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. 2015. “Efficient approximations of robust soft learning vector quantization for non-vectorial data”. Neurocomputing 147: 96-106.

  PUB | DOI | WoS
   
• [11]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320

  Frenay, Benoit, Hofmann, Daniela, Schulz, Alexander, Biehl, Michael, and Hammer, Barbara. 2014. “Valid interpretation of feature relevance for linear data mappings”. In 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 149-156. Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE).

  PUB | PDF | DOI
   
• [10]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214

  Hofmann, Daniela, Schleif, Frank-Michael, Paaßen, Benjamin, and Hammer, Barbara. 2014. “Learning interpretable kernelized prototype-based models”. Neurocomputing 141: 84-96.

  PUB | DOI | Download (ext.) | WoS
   
• [9]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730

  Hammer, Barbara, Hofmann, Daniela, Schleif, Frank-Michael, and Zhu, Xibin. 2014. “Learning vector quantization for (dis-)similarities”. NeuroComputing 131: 43-51.

  PUB | DOI | WoS
   
• [8]
  

  2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102

  Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. 2013. “Efficient Approximations of Kernel Robust Soft LVQ”. In Advances in Self-Organizing Maps, ed. Pablo A. Estévez, José C. Príncipe, and Pablo Zegers, 183-192. Advances in Intelligent Systems and Computing. Berlin, Heidelberg: Springer Berlin Heidelberg.

  PUB | DOI
   
• [7]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625199

  Hofmann, Daniela, and Hammer, Barbara. 2013. “Sparse approximations for kernel learning vector quantization”. In ESANN.

  PUB
   
• [6]
  

  2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106

  Gisbrecht, Andrej, Hofmann, Daniela, and Hammer, Barbara. 2012. “Discriminative Dimensionality Reduction Mappings”. In Advances in Intelligent Data Analysis XI, ed. Jaakko Hollmén, Frank Klawonn, and Allan Tucker, 126-138. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg.

  PUB | DOI
   
• [5]
  

  2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982107

  Hofmann, Daniela, and Hammer, Barbara. 2012. “Kernel Robust Soft Learning Vector Quantization”. In Artificial Neural Networks in Pattern Recognition, ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin, 14-23. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg.

  PUB | DOI
   
• [4]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2671172

  Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. 2012. “Discriminative probabilistic prototype based models in kernel space”. In Workshop NC^2 2012. TR Machine Learning Reports.

  PUB
   
• [3]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238

  Hofmann, Daniela, Gisbrecht, Andrej, and Hammer, Barbara. 2012. “Efficient Approximations of Kernel Robust Soft LVQ”. In WSOM.

  PUB
   
• [2]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247

  Gisbrecht, Andrej, Hofmann, Daniela, and Hammer, Barbara. 2012. “Discriminative Dimensionality Reduction Mappings”. In Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings, ed. Jaakko Hollmén, Frank Klawonn, and Allan Tucker, 7619:126-138. Lecture Notes in Computer Science. Springer.

  PUB
   
• [1]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625254

  Hofmann, Daniela, and Hammer, Barbara. 2012. “Kernel Robust Soft Learning Vector Quantization”. In Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings, ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin, 7477:14-23. Lecture Notes in Computer Science. Springer.

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