PUB - Publikationen an der Universität Bielefeld

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• [23]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763

  F.-M. Schleif, X. Zhu, and B. Hammer, “Sparse conformal prediction for dissimilarity data”, Annals of Mathematics and Artificial Intelligence, vol. 74, 2015, pp. 95-116.

  PUB | DOI | WoS
   
• [22]
  

  2015 | Bielefelder E-Dissertation | PUB-ID: 2733228

  X. Zhu, Adaptive prototype-based dissimilarity learning, Bielefeld: Universitätsbibliothek Bielefeld, 2015.

  PUB | PDF
   
• [21]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504

  X. Zhu, F.-M. Schleif, and B. Hammer, “Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data”, Pattern Recognition Letters, vol. 49, 2014, pp. 138-145.

  PUB | DOI | WoS
   
• [20]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730

  B. Hammer, et al., “Learning vector quantization for (dis-)similarities”, NeuroComputing, vol. 131, 2014, pp. 43-51.

  PUB | DOI | WoS
   
• [19]
  

  2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105

  F.-M. Schleif, X. Zhu, and B. Hammer, “Sparse Prototype Representation by Core Sets”, Intelligent Data Engineering and Automated Learning – IDEAL 2013, H. Yin, et al., eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp.302-309.

  PUB | DOI
   
• [18]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202

  F.-M. Schleif, X. Zhu, and B. Hammer, “Sparse prototype representation by core sets”, IDEAL 2013, et.al Hujun Yin, ed., 2013.

  PUB
   
• [17]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717

  X. Zhu, F.-M. Schleif, and B. Hammer, “Secure Semi-supervised Vector Quantization for Dissimilarity Data”, IWANN (1), I. Rojas, G. Joya, and J. Cabestany, eds., Lecture Notes in Computer Science, vol. 7902, Springer, 2013, pp.347-356.

  PUB | DOI
   
• [16]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701

  X. Zhu, F.-M. Schleif, and B. Hammer, “Semi-Supervised Vector Quantization for proximity data”, Proceedings of ESANN 2013, 2013, pp.89-94.

  PUB
   
• [15]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232

  A. Gisbrecht, et al., “Linear Time Relational Prototype Based Learning”, International Journal of Neural Systems, vol. 22, 2012, : 1250021.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [14]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750

  F.-M. Schleif, et al., “Fast approximated relational and kernel clustering”, Proceedings of ICPR 2012, IEEE, 2012, pp.1229-1232.

  PUB
   
• [13]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536437

  S. Gross, et al., “Cluster based feedback provision strategies in intelligent tutoring systems”, Proceedings of the 11th international conference on Intelligent Tutoring Systems, Berlin, Heidelberg: Springer-Verlag, 2012, pp.699-700.

  PUB | PDF | DOI | Download (ext.)
   
• [12]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756

  F.-M. Schleif, X. Zhu, and B. Hammer, “Soft Competitive Learning for large data sets”, Proceedings of MCSD 2012, Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.141-151.

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• [11]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888

  F.-M. Schleif, X. Zhu, and B. Hammer, “A Conformal Classifier for Dissimilarity Data”, AIAI (2), Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.234-243.

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• [10]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910

  X. Zhu, F.-M. Schleif, and B. Hammer, “Patch Processing for Relational Learning Vector Quantization”, ISNN (1), Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.55-63.

  PUB | DOI
   
• [9]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868

  B. Hammer, et al., “White Box Classification of Dissimilarity Data”, HAIS (1), Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp.309-321.

  PUB | DOI | WoS
   
• [8]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852

  X. Zhu, et al., “Approximation techniques for clustering dissimilarity data”, Neurocomputing, vol. 90, 2012, pp. 72-84.

  PUB | DOI | WoS
   
• [7]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113

  B. Hammer, et al., “Topographic Mapping of Dissimilarity Data”, Advances in Self-Organizing Maps, J. Laaksonen and T. Honkela, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.1-15.

  PUB | DOI
   
• [6]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982112

  B. Hammer, F.-M. Schleif, and X. Zhu, “Relational Extensions of Learning Vector Quantization”, Neural Information Processing, B.-L. Lu, L. Zhang, and J. Kwok, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.481-489.

  PUB | DOI
   
• [5]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111

  B. Hammer, et al., “Prototype-Based Classification of Dissimilarity Data”, Advances in Intelligent Data Analysis X, J. Gama, E. Bradley, and J. Hollmén, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.185-197.

  PUB | DOI
   
• [4]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480

  A. Gisbrecht, et al., “Linear time heuristics for topographic mapping of dissimilarity data”, Intelligent Data Engineering and Automated Learning - IDEAL 2011: IDEAL 2011, 12th international conference, Norwich, UK, September 7 - 9, 2011 ; proceedings, Lecture Notes in Computer Science, vol. 6936, Berlin, Heidelberg: Springer, 2011, pp.25-33.

  PUB | DOI
   
• [3]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485

  B. Hammer, et al., “Topographic Mapping of Dissimilarity Data”, WSOM'11, 2011.

  PUB
   
• [2]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522

  A. Gisbrecht, et al., “Accelerating dissimilarity clustering for biomedical data analysis”, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011, pp.pp.154-161.

  PUB
   
• [1]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2091665

  X. Zhu and B. Hammer, “Patch Affinity Propagation”, Presented at the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, Louvain-la-Neuve: Ciaco - i6doc.com, 2011.

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