Document Processing Using Machine Learning - Rilegato

Rilegato

ISBN 10: 036721847X ISBN 13: 9780367218478

Casa editrice: Chapman and Hall/CRC, 2019

Riassunto

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.

Su questo libro

Informazioni sull'autore

Sk Md Obaidullah, KC Santosh, Teresa Goncalves, Nibaran Das, Kaushik Roy

Dettagli dell'edizione

• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 036721847X
• ISBN 13: 9780367218478
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 168
• Redattore: Obaidullah Sk Md, Santosh KC, Goncalves Teresa, Das Nibaran, Roy Kaushik
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania