09081 Summary – Similarity-based learning on structures

Authors Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann



PDF
Thumbnail PDF

File

DagSemProc.09081.2.pdf
  • Filesize: 98 kB
  • 4 pages

Document Identifiers

Author Details

Michael Biehl
Barbara Hammer
Sepp Hochreiter
Stefan C. Kremer
Thomas Villmann

Cite As Get BibTex

Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, and Thomas Villmann. 09081 Summary – Similarity-based learning on structures. In Similarity-based learning on structures. Dagstuhl Seminar Proceedings, Volume 9081, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/DagSemProc.09081.2

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.

Subject Classification

Keywords
  • Similarity-based clustering and classification
  • metric adaptation and kernel design
  • learning on graphs
  • spatiotemporal data

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail