Syntactic pattern recognition

"This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The...

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1. Verfasser: Flasinski, Mariusz (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Singapore World Scientific Publishing Company Pte Limited 2019
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MARC

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520 |a "This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed. This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence."-- 
650 4 |a Pattern perception 
650 4 |a Pattern recognition systems 
653 |a Electronic books 
776 0 8 |i Erscheint auch als  |n Druck-Ausgabe  |z 9789813278462 
856 4 0 |u https://www.worldscientific.com/worldscibooks/10.1142/11216  |x Verlag  |z URL des Erstveröffentlichers  |3 Volltext 
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Datensatz im Suchindex

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ctrlnum (ZDB-124-WOP)00011216
(OCoLC)1190674446
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format Electronic
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id DE-604.BV046808820
illustrated Illustrated
indexdate 2024-12-24T08:16:31Z
institution BVB
isbn 9789813278479
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-032217422
oclc_num 1190674446
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owner DE-706
owner_facet DE-706
physical 1 online resource (404 pages) illustrations
psigel ZDB-124-WOP
publishDate 2019
publishDateSearch 2019
publishDateSort 2019
publisher World Scientific Publishing Company Pte Limited
record_format marc
spelling Flasinski, Mariusz Verfasser aut
Syntactic pattern recognition Mariusz Flasinski
Singapore World Scientific Publishing Company Pte Limited 2019
1 online resource (404 pages) illustrations
txt rdacontent
c rdamedia
cr rdacarrier
Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader
Includes bibliographical references and index
"This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed. This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence."--
Pattern perception
Pattern recognition systems
Electronic books
Erscheint auch als Druck-Ausgabe 9789813278462
https://www.worldscientific.com/worldscibooks/10.1142/11216 Verlag URL des Erstveröffentlichers Volltext
spellingShingle Flasinski, Mariusz
Syntactic pattern recognition
Includes bibliographical references and index
Pattern perception
Pattern recognition systems
title Syntactic pattern recognition
title_auth Syntactic pattern recognition
title_exact_search Syntactic pattern recognition
title_full Syntactic pattern recognition Mariusz Flasinski
title_fullStr Syntactic pattern recognition Mariusz Flasinski
title_full_unstemmed Syntactic pattern recognition Mariusz Flasinski
title_short Syntactic pattern recognition
title_sort syntactic pattern recognition
topic Pattern perception
Pattern recognition systems
topic_facet Pattern perception
Pattern recognition systems
url https://www.worldscientific.com/worldscibooks/10.1142/11216
work_keys_str_mv AT flasinskimariusz syntacticpatternrecognition