Verfügbarkeit: Structural, syntactic, and statistical pattern recognition

Structural, syntactic, and statistical pattern recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings

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Bibliographische Detailangaben
Körperschaft:	S+SSPR Peking (VerfasserIn)
Weitere Verfasser:	Bai, Xiao (HerausgeberIn), Hancock, Edwin R. 1956- (HerausgeberIn), Ho, Tin Kam (HerausgeberIn), Wilson, Richard C. (HerausgeberIn), Biggio, Battista (HerausgeberIn), Robles-Kelly, Antonio (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	English
Veröffentlicht:	Cham, Switzerland Springer [2018]
Schriftenreihe:	Lecture notes in computer science 11004 : Image processing, computer vision, pattern recognition, and graphics
Schlagworte:	Artificial Intelligence (incl. Robotics) Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Data Structures Artificial intelligence Optical pattern recognition Computer vision Computer software Computational complexity Data structures (Computer scienc Struktur Syntax Informatik Mustererkennung Statistik Konferenzschrift > 2018 > Peking
Online-Zugang:	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-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-29 DE-739 URL des Erstveröffentlichers
Beschreibung:	1 Online-Ressource Illustrationen, Diagramme
ISBN:	9783319977850
DOI:	10.1007/978-3-319-97785-0

Internformat

MARC


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genre	(DE-588)1071861417 Konferenzschrift 2018 Peking gnd-content
genre_facet	Konferenzschrift 2018 Peking
id	DE-604.BV045164941
illustrated	Illustrated
indexdate	2025-01-11T04:02:36Z
institution	BVB
institution_GND	(DE-588)1164814362
isbn	9783319977850
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030554346
oclc_num	1050945603
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owner	DE-355 DE-BY-UBR DE-860 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-384 DE-91 DE-BY-TUM
owner_facet	DE-355 DE-BY-UBR DE-860 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-384 DE-91 DE-BY-TUM
physical	1 Online-Ressource Illustrationen, Diagramme
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2018 ZDB-2-LNC_2018 ZDB-2-LNC ZDB-2-LNC_2018
publishDate	2018
publishDateSearch	2018
publishDateSort	2018
publisher	Springer
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series	Lecture notes in computer science
series2	Lecture notes in computer science Image processing, computer vision, pattern recognition, and graphics
spellingShingle	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings Lecture notes in computer science Artificial Intelligence (incl. Robotics) Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Data Structures Artificial intelligence Optical pattern recognition Computer vision Computer software Computational complexity Data structures (Computer scienc Struktur (DE-588)4058125-1 gnd Syntax (DE-588)4058779-4 gnd Informatik (DE-588)4026894-9 gnd Mustererkennung (DE-588)4040936-3 gnd Statistik (DE-588)4056995-0 gnd
subject_GND	(DE-588)4058125-1 (DE-588)4058779-4 (DE-588)4026894-9 (DE-588)4040936-3 (DE-588)4056995-0 (DE-588)1071861417
title	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings
title_auth	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings
title_exact_search	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings
title_full	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly (eds.)
title_fullStr	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly (eds.)
title_full_unstemmed	Structural, syntactic, and statistical pattern recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly (eds.)
title_short	Structural, syntactic, and statistical pattern recognition
title_sort	structural syntactic and statistical pattern recognition joint iapr international workshop s sspr 2018 beijing china august 17 19 2018 proceedings
title_sub	Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018 : proceedings
topic	Artificial Intelligence (incl. Robotics) Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Data Structures Artificial intelligence Optical pattern recognition Computer vision Computer software Computational complexity Data structures (Computer scienc Struktur (DE-588)4058125-1 gnd Syntax (DE-588)4058779-4 gnd Informatik (DE-588)4026894-9 gnd Mustererkennung (DE-588)4040936-3 gnd Statistik (DE-588)4056995-0 gnd
topic_facet	Artificial Intelligence (incl. Robotics) Pattern Recognition Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Data Structures Artificial intelligence Optical pattern recognition Computer vision Computer software Computational complexity Data structures (Computer scienc Struktur Syntax Informatik Mustererkennung Statistik Konferenzschrift 2018 Peking
url	https://doi.org/10.1007/978-3-319-97785-0
volume_link	(DE-604)BV014880109
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