License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.09081.2
URN: urn:nbn:de:0030-drops-20382
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/2038/
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Biehl, Michael ; Hammer, Barbara ; Hochreiter, Sepp ; Kremer, Stefan C. ; Villmann, Thomas

09081 Summary -- Similarity-based learning on structures

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09081.SWM.ExtAbstract.2038.pdf (0.10 MB)

Abstract

The seminar centered around different aspects of similarity-based
clustering with the special focus on structures. This included theoretical foundations, new algorithms, innovative applications, and future challenges for the field.

BibTeX - Entry

@InProceedings{biehl_et_al:DagSemProc.09081.2,
  author =	{Biehl, Michael and Hammer, Barbara and Hochreiter, Sepp and Kremer, Stefan C. and Villmann, Thomas},
  title =	{{09081 Summary – Similarity-based learning on structures}},
  booktitle =	{Similarity-based learning on structures},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9081},
  editor =	{Michael Biehl and Barbara Hammer and Sepp Hochreiter and Stefan C. Kremer and Thomas Villmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/2038},
  URN =		{urn:nbn:de:0030-drops-20382},
  doi =		{10.4230/DagSemProc.09081.2},
  annote =	{Keywords: Similarity-based clustering and classification, metric adaptation and kernel design, learning on graphs, spatiotemporal data}
}

Keywords: Similarity-based clustering and classification, metric adaptation and kernel design, learning on graphs, spatiotemporal data
Collection: 09081 - Similarity-based learning on structures
Issue Date: 2009
Date of publication: 23.06.2009

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