Document Processing Using Machine Learning (Record no. 72028)

000 -LEADER
fixed length control field 03271cam a2200565Mu 4500
001 - CONTROL NUMBER
control field 9780429277573
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212726.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191130s2019 xx o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000739534
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000739538
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429277573
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429277571
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000739831
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 100073983X
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000739688
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000739686
-- (electronic bk. : Mobipocket)
082 04 - CLASSIFICATION NUMBER
Call Number 621.3670285631
245 00 - TITLE STATEMENT
Title Document Processing Using Machine Learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Milton :
Publisher CRC Press LLC,
Year of publication 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (183 p.)
500 ## - GENERAL NOTE
Remark 1 Description based upon print version of record.
520 ## - SUMMARY, ETC.
Summary, etc Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: The role of AI for document image analysis Optical character recognition Machine learning algorithms for document analysis Extreme learning machines and their applications Mathematical foundation for Web text document analysis Social media data analysis Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.
700 1# - AUTHOR 2
Author 2 Obaidullah, Sk Md,
700 1# - AUTHOR 2
Author 2 Santosh, K. C.,
700 1# - AUTHOR 2
Author 2 Goncalves, Teresa,
700 1# - AUTHOR 2
Author 2 Das, Nibaran,
700 1# - AUTHOR 2
Author 2 Roy, Kaushik,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429277573
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Computer Graphics / Game Programming & Design
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Database Management / Data Mining
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Machine Theory
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image analysis.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Document imaging systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Optical character recognition.

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