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Documents authored by Neumann, Bernd

Document
DOI: 10.4230/DagRep.4.2.79
Robots Learning from Experiences (Dagstuhl Seminar 14081)

Authors: Anthony G. Cohn, Bernd Neumann, Alessandro Saffiotti, and Markus Vincze

Published in: Dagstuhl Reports, Volume 4, Issue 2 (2014)

Abstract
This report documents the programme and the outcomes of Dagstuhl Seminar 14081 "Robots Learning from Experiences". The report begins with a summary comprising information about the seminar topics, the programme, important discussion points, and conclusions. The main body of the report consists of the abstracts of 25 presentations given at the seminar, and of four reports about discussion groups.
Cite as

Anthony G. Cohn, Bernd Neumann, Alessandro Saffiotti, and Markus Vincze. Robots Learning from Experiences (Dagstuhl Seminar 14081). In Dagstuhl Reports, Volume 4, Issue 2, pp. 79-109, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{cohn_et_al:DagRep.4.2.79,
  author =	{Cohn, Anthony G. and Neumann, Bernd and Saffiotti, Alessandro and Vincze, Markus},
  title =	{{Robots Learning from Experiences (Dagstuhl Seminar 14081)}},
  pages =	{79--109},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{2},
  editor =	{Cohn, Anthony G. and Neumann, Bernd and Saffiotti, Alessandro and Vincze, Markus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.2.79},
  URN =		{urn:nbn:de:0030-drops-45465},
  doi =		{10.4230/DagRep.4.2.79},
  annote =	{Keywords: Learning, experiences, cognitive systems}
}
Document
DOI: 10.4230/DagSemProc.08091.1
08091 Abstracts Collection – Logic and Probability for Scene Interpretation

Authors: Bernd Neumann, Anthony C. Cohn, David C. Hogg, and Ralf Möller

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
From 25.2.2008 to Friday 29.2.2008, the Dagstuhl Seminar 08091 ``Logic and Probability for Scene Interpretation'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. 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.
Cite as

Bernd Neumann, Anthony C. Cohn, David C. Hogg, and Ralf Möller. 08091 Abstracts Collection – Logic and Probability for Scene Interpretation. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{neumann_et_al:DagSemProc.08091.1,
  author =	{Neumann, Bernd and Cohn, Anthony C. and Hogg, David C. and M\"{o}ller, Ralf},
  title =	{{08091 Abstracts Collection – Logic and Probability for Scene Interpretation}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.1},
  URN =		{urn:nbn:de:0030-drops-16480},
  doi =		{10.4230/DagSemProc.08091.1},
  annote =	{Keywords: Logic, probabilities, scene interpretation}
}
Document
DOI: 10.4230/DagSemProc.08091.6
Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation

Authors: Bernd Neumann

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
In high-level vision, it is often useful to organize conceptual models in compositional hierarchies. For example, models of building facades (which are used here as examples) can be described in terms of constituent parts such as balconies or window arrays which in turn may be further decomposed. While compositional hierarchies are widely used in scene interpretation, it is not clear how to model and exploit probabilistic dependencies which may exist within and between aggregates. In this contribution I present Bayesian Aggregate Hierarchies as a means to capture probabilistic dependencies in a compositional hierarchy. The formalism integrates well with object-centered representations and extends Bayesian Networks by allowing arbitrary probabilistic dependencies within aggregates. To obtain efficient inference procedures, the aggregate structure must possess abstraction properties which ensure that internal aggregate properties are only affected in accordance with the hierarchical structure. Using examples from the building domain, it is shown that probabilistic aggregate information can thus be integrated into a logic-based scene interpretation system and provide a preference measure for interpretation steps.
Cite as

Bernd Neumann. Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{neumann:DagSemProc.08091.6,
  author =	{Neumann, Bernd},
  title =	{{Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.6},
  URN =		{urn:nbn:de:0030-drops-16050},
  doi =		{10.4230/DagSemProc.08091.6},
  annote =	{Keywords: Scene interpretation, compositional hierarchy, probabilistic inference}
}
Document
DOI: 10.4230/DagSemRep.196
Knowledge-Based Computer Vision (Dagstuhl Seminar 9750)

Authors: Henrik I. Christensen, David Hogg, and Bernd Neumann

Published in: Dagstuhl Seminar Reports. Dagstuhl Seminar Reports, Volume 1 (2021)

Abstract
Cite as

Henrik I. Christensen, David Hogg, and Bernd Neumann. Knowledge-Based Computer Vision (Dagstuhl Seminar 9750). Dagstuhl Seminar Report 196, pp. 1-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (1998)

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@TechReport{christensen_et_al:DagSemRep.196,
  author =	{Christensen, Henrik I. and Hogg, David and Neumann, Bernd},
  title =	{{Knowledge-Based Computer Vision (Dagstuhl Seminar 9750)}},
  pages =	{1--61},
  ISSN =	{1619-0203},
  year =	{1998},
  type = 	{Dagstuhl Seminar Report},
  number =	{196},
  institution =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemRep.196},
  URN =		{urn:nbn:de:0030-drops-150825},
  doi =		{10.4230/DagSemRep.196},
}
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