Verfügbarkeit: Pattern recognition applications and methods

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Bibliographische Detailangaben
Körperschaften:	ICPRAM Online (VerfasserIn), International Conference on Pattern Recognition Applications and Methods (VerfasserIn)
Weitere beteiligte Personen:	De Marsico, Maria (HerausgeberIn), Sanniti di Baja, Gabriella (HerausgeberIn), Fred, Ana (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Cham, Switzerland Springer [2023]
Schriftenreihe:	Lecture notes in computer science 13822
Schlagwörter:	Automated Pattern Recognition Machine Learning Computer Engineering and Networks Computer and Information Systems Applications Pattern recognition systems Machine learning Computer engineering Computer networks Application software Konferenzschrift > 2021-2022 > Online
Links:	https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1 https://doi.org/10.1007/978-3-031-24538-1
Umfang:	1 Online-Ressource (xiii, 175 Seiten) 82 Illustrationen, 75 in Farbe
ISBN:	9783031245381
ISSN:	1611-3349
DOI:	10.1007/978-3-031-24538-1

Internformat

MARC


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genre	(DE-588)1071861417 Konferenzschrift 2021-2022 Online gnd-content
genre_facet	Konferenzschrift 2021-2022 Online
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illustrated	Illustrated
indexdate	2025-01-11T19:09:47Z
institution	BVB
institution_GND	(DE-588)123227206X (DE-588)1257632973
isbn	9783031245381
issn	1611-3349
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034062028
oclc_num	1369550399
open_access_boolean
owner	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (xiii, 175 Seiten) 82 Illustrationen, 75 in Farbe
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publishDate	2023
publishDateSearch	2023
publishDateSort	2023
publisher	Springer
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series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers Lecture notes in computer science Automated Pattern Recognition Machine Learning Computer Engineering and Networks Computer and Information Systems Applications Pattern recognition systems Machine learning Computer engineering Computer networks Application software
subject_GND	(DE-588)1071861417
title	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers
title_auth	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers
title_exact_search	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers
title_full	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (eds.)
title_fullStr	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (eds.)
title_full_unstemmed	Pattern recognition applications and methods 10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (eds.)
title_short	Pattern recognition applications and methods
title_sort	pattern recognition applications and methods 10th international conference icpram 2021 and 11th international conference icpram 2022 virtual event february 4 6 2021 and february 3 5 2022 revised selected papers
title_sub	10th international conference, ICPRAM 2021, and 11th international conference, ICPRAM 2022, virtual event, February 4–6, 2021 and February 3–5, 2022, revised selected papers
topic	Automated Pattern Recognition Machine Learning Computer Engineering and Networks Computer and Information Systems Applications Pattern recognition systems Machine learning Computer engineering Computer networks Application software
topic_facet	Automated Pattern Recognition Machine Learning Computer Engineering and Networks Computer and Information Systems Applications Pattern recognition systems Machine learning Computer engineering Computer networks Application software Konferenzschrift 2021-2022 Online
url	https://doi.org/10.1007/978-3-031-24538-1
volume_link	(DE-604)BV014880109
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