2 Search Results for "Nebel, Bernhard E."

Document
DOI: 10.4230/DagRep.9.1.104
Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051)

Authors: Gerth Stølting Brodal, Ulrich Carsten Meyer, Bernhard E. Nebel, and Robert Sedgewick

Published in: Dagstuhl Reports, Volume 9, Issue 1 (2019)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16101 "Data Structures for the Cloud and External Memory Data". In today's computing environment vast amounts of data are processed, exchanged and analyzed. The manner in which information is stored profoundly influences the efficiency of these operations over the data. In spite of the maturity of the field many data structuring problems are still open, while new ones arise due to technological advances. The seminar covered both recent advances in the "classical" data structuring topics as well as new models of computation adapted to modern architectures, scientific studies that reveal the need for such models, applications where large data sets play a central role, modern computing platforms for very large data, and new data structures for large data in modern architectures. The extended abstracts included in this report contain both recent state of the art advances and lay the foundation for new directions within data structures research.
Cite as

Gerth Stølting Brodal, Ulrich Carsten Meyer, Bernhard E. Nebel, and Robert Sedgewick. Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051). In Dagstuhl Reports, Volume 9, Issue 1, pp. 104-124, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{brodal_et_al:DagRep.9.1.104,
  author =	{Brodal, Gerth St{\o}lting and Meyer, Ulrich Carsten and Nebel, Bernhard E. and Sedgewick, Robert},
  title =	{{Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051)}},
  pages =	{104--124},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{1},
  editor =	{Brodal, Gerth St{\o}lting and Meyer, Ulrich Carsten and Nebel, Bernhard E. and Sedgewick, Robert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.1.104},
  URN =		{urn:nbn:de:0030-drops-105722},
  doi =		{10.4230/DagRep.9.1.104},
  annote =	{Keywords: algorithms, big data, cloud computing, data structures, external memory methods, large data sets, web-scale}
}
Document
DOI: 10.4230/DagSemProc.08372.9
Using Affective Technologies to Increase Engagement and Motivation in Fitness and Sports

Authors: Elisabeth André

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
Work by Picard and others has created considerable awareness for the role of affect in human-computer interaction. In fact, a strong new field is emerging in computer science: affective computing. In my presentation, I presented first ideas to make use of affective technologies in fitness and sports.
Cite as

Elisabeth André. Using Affective Technologies to Increase Engagement and Motivation in Fitness and Sports. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{andre:DagSemProc.08372.9,
  author =	{Andr\'{e}, Elisabeth},
  title =	{{Using Affective Technologies to Increase Engagement and Motivation in Fitness and Sports}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.9},
  URN =		{urn:nbn:de:0030-drops-16842},
  doi =		{10.4230/DagSemProc.08372.9},
  annote =	{Keywords: Affective computing}
}
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