Document Processing Using Machine Learning [electronic resource].
- Milton : CRC Press LLC, 2019.
- 1 online resource (183 p.)
Description based upon print version of record.
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.
9781000739534 1000739538 9780429277573 0429277571 9781000739831 100073983X 9781000739688 1000739686
COMPUTERS / Computer Graphics / Game Programming & Design
COMPUTERS / Database Management / Data Mining
COMPUTERS / Machine Theory
Image analysis.
Document imaging systems.
Machine learning.
Optical character recognition.
TA1637
621.3670285631
Description based upon print version of record.
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.
9781000739534 1000739538 9780429277573 0429277571 9781000739831 100073983X 9781000739688 1000739686
COMPUTERS / Computer Graphics / Game Programming & Design
COMPUTERS / Database Management / Data Mining
COMPUTERS / Machine Theory
Image analysis.
Document imaging systems.
Machine learning.
Optical character recognition.
TA1637
621.3670285631