Holdings: Artificial neural networks and machine learning – ICANN 2019: image processing

Artificial neural networks and machine learning – ICANN 2019: image processing: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III

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Bibliographic Details
Corporate Author:	ICANN (Veranstaltung) München (Author)
Other Authors:	Tetko, Igor (Editor), Kůrková, Věra 1948- (Editor), Karpov, Pavel (Editor), Theis, Fabian (Editor)
Format:	Electronic Conference Proceeding eBook
Language:	English
Published:	Cham Springer [2019]
Series:	Lecture notes in computer science 11729
Subjects:	Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Künstliche Intelligenz Neuronales Netz Maschinelles Lernen Konferenzschrift > 2019 > München
Online Access:	DE-634 DE-Aug4 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext
Physical Description:	1 Online-Ressource (xxx, 733 Seiten) 417 Illustrationen, 273 in Farbe
ISBN:	9783030305086
DOI:	10.1007/978-3-030-30508-6

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genre	(DE-588)1071861417 Konferenzschrift 2019 München gnd-content
genre_facet	Konferenzschrift 2019 München
id	DE-604.BV046189992
illustrated	Illustrated
indexdate	2025-03-13T04:01:04Z
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institution_GND	(DE-588)1195721048
isbn	9783030305086
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-031569377
oclc_num	1123164911
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owner_facet	DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-83
physical	1 Online-Ressource (xxx, 733 Seiten) 417 Illustrationen, 273 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2019 ZDB-2-LNC_2019 ZDB-2-LNC ZDB-2-LNC_2019
publishDate	2019
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series	Lecture notes in computer science
series2	Lecture notes in computer science Theoretical computer science and general issues
spellingShingle	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III Lecture notes in computer science Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III
title_auth	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III
title_exact_search	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III
title_full	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2019: image processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_short	Artificial neural networks and machine learning – ICANN 2019: image processing
title_sort	artificial neural networks and machine learning icann 2019 image processing 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings part iii
title_sub	28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part III
topic	Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Künstliche Intelligenz Neuronales Netz Maschinelles Lernen Konferenzschrift 2019 München
url	https://doi.org/10.1007/978-3-030-30508-6
volume_link	(DE-604)BV014880109
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