Document Processing Using Machine Learning (Record no. 72028)
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000 -LEADER | |
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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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