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  Sensing, Interpreting, and Anticipating Human Social Behaviour in the Real World

Müller, P. (2020). Sensing, Interpreting, and Anticipating Human Social Behaviour in the Real World. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-32992.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-D8BB-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-7922-6
Genre: Thesis

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https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/30503 (Any fulltext)
Description:
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OA-Status:
Green

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 Creators:
Müller, Philipp1, 2, Author           
Bulling, Andreas1, Advisor           
André, Elisabeth3, Referee
Krüger, Antonio3, Referee
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              
3External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2020-11-1320202020
 Publication Status: Issued
 Pages: 224 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: MuellerDiss_2019
DOI: 10.22028/D291-32992
URN: nbn:de:bsz:291--ds-329923
Other: 20.500.11880/30503
 Degree: PhD

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