Published in: LIPIcs, Volume 204, 29th Annual European Symposium on Algorithms (ESA 2021)
Markus Anders and Pascal Schweitzer. Parallel Computation of Combinatorial Symmetries. In 29th Annual European Symposium on Algorithms (ESA 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 204, pp. 6:1-6:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{anders_et_al:LIPIcs.ESA.2021.6, author = {Anders, Markus and Schweitzer, Pascal}, title = {{Parallel Computation of Combinatorial Symmetries}}, booktitle = {29th Annual European Symposium on Algorithms (ESA 2021)}, pages = {6:1--6:18}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-204-4}, ISSN = {1868-8969}, year = {2021}, volume = {204}, editor = {Mutzel, Petra and Pagh, Rasmus and Herman, Grzegorz}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2021.6}, URN = {urn:nbn:de:0030-drops-145875}, doi = {10.4230/LIPIcs.ESA.2021.6}, annote = {Keywords: graph isomorphism, automorphism groups, algorithm engineering, parallel algorithms} }
Published in: Dagstuhl Seminar Proceedings, Volume 7131, Similarity-based Clustering and its Application to Medicine and Biology (2007)
Petra Schneider. Relevance Matrices in LVQ. In Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings, Volume 7131, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)
@InProceedings{schneider:DagSemProc.07131.7, author = {Schneider, Petra}, title = {{Relevance Matrices in LVQ}}, booktitle = {Similarity-based Clustering and its Application to Medicine and Biology}, pages = {1--6}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2007}, volume = {7131}, editor = {Michael Biehl and Barbara Hammer and Michel Verleysen and Thomas Villmann}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07131.7}, URN = {urn:nbn:de:0030-drops-11332}, doi = {10.4230/DagSemProc.07131.7}, annote = {Keywords: Learning Vector Quantization, Relevance Learning, adaptive distance measure} }
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