Document Processing Using Machine Learning

Document Processing Using Machine Learning Hardcover – 20 Dec. 2019
By 作者:Sk Md Obaidullah (Editor), KC Santosh (Editor), Teresa Goncalves (Editor), Nibaran Das (Editor), Kaushik Roy (Editor)
Hardcover: 182 pages
Publisher Finelybook 出版社: Chapman and Hall/CRC; 1 edition (20 Dec. 2019)
Language 语言: English
ISBN-10 书号:036721847X
ISBN-13 书号:9780367218478
The Book Description robot was collected from Amazon and arranged by Finelybook
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.


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