PUB - Publikationen an der Universität Bielefeld

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• [23]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763

  Schleif, F.-M., Zhu, X., & Hammer, B., 2015. Sparse conformal prediction for dissimilarity data. Annals of Mathematics and Artificial Intelligence, 74(1-2), p 95-116.

  PUB | DOI | WoS
   
• [22]
  

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

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

  PUB | PDF
   
• [21]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504

  Zhu, X., Schleif, F.-M., & Hammer, B., 2014. Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters, 49, p 138-145.

  PUB | DOI | WoS
   
• [20]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730

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

  PUB | DOI | WoS
   
• [19]
  

  2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105

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

  PUB | DOI
   
• [18]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202

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

  PUB
   
• [17]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717

  Zhu, X., Schleif, F.-M., & Hammer, B., 2013. Secure Semi-supervised Vector Quantization for Dissimilarity Data. In I. Rojas, G. Joya, & J. Cabestany, eds. IWANN (1). Lecture Notes in Computer Science. no.7902 Springer, pp. 347-356.

  PUB | DOI
   
• [16]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701

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

  PUB
   
• [15]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232

  Gisbrecht, A., et al., 2012. Linear Time Relational Prototype Based Learning. International Journal of Neural Systems, 22(05): 1250021.

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

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750

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

  PUB
   
• [13]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536437

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

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

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756

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

  PUB | DOI
   
• [11]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888

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

  PUB | DOI
   
• [10]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910

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

  PUB | DOI
   
• [9]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868

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

  PUB | DOI | WoS
   
• [8]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852

  Zhu, X., et al., 2012. Approximation techniques for clustering dissimilarity data. Neurocomputing, 90, p 72-84.

  PUB | DOI | WoS
   
• [7]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113

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

  PUB | DOI
   
• [6]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982112

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

  PUB | DOI
   
• [5]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111

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

  PUB | DOI
   
• [4]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480

  Gisbrecht, A., et al., 2011. Linear time heuristics for topographic mapping of dissimilarity data. In 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. no.6936 Berlin, Heidelberg: Springer, pp. 25-33.

  PUB | DOI
   
• [3]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485

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

  PUB
   
• [2]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522

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

  PUB
   
• [1]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2091665

  Zhu, X., & Hammer, B., 2011. Patch Affinity Propagation. Presented at the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium.

  PUB