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DOI: 10.4230/DagSemProc.09081.1
URN: urn:nbn:de:0030-drops-20395
URL: https://drops.dagstuhl.de/opus/volltexte/2009/2039/
Biehl, Michael ; Hammer, Barbara ; Hochreiter, Sepp ; Kremer, Stefan C. ; Villmann, Thomas
09081 Abstracts Collection -- Similarity-based learning on structures
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Abstract
From 15.02. to 20.02.2009, the Dagstuhl Seminar 09081 ``Similarity-based learning on structures '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics.During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available.
BibTeX - Entry
@InProceedings{biehl_et_al:DagSemProc.09081.1,
author = {Biehl, Michael and Hammer, Barbara and Hochreiter, Sepp and Kremer, Stefan C. and Villmann, Thomas},
title = {{09081 Abstracts Collection – Similarity-based learning on structures}},
booktitle = {Similarity-based learning on structures},
pages = {1--15},
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/2009/2039},
URN = {urn:nbn:de:0030-drops-20395},
doi = {10.4230/DagSemProc.09081.1},
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 | |
| Seminar: | 09081 - Similarity-based learning on structures | |
| Issue date: | 2009 | |
| Date of publication: | 24.06.2009 |
