Document Processing Using Machine Learning

By: and and and and

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Synopsis
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.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781000739831
Related ISBNs:
9780429277573, 9780367218478, 9780367218478
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Sk Md Obaidullah, K. C. Santosh, Teresa Gonçalves, Nibaran Das, Kaushik Roy
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Sk Md Obaidullah
Edited by:
KC Santosh
Edited by:
Teresa Goncalves
Edited by:
Nibaran Das
Edited by:
Kaushik Roy

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