rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Document processing using machine learning
  name:
    name part: Obaidullah, Sk Md
    role:
      role term: editor.
  name:
    name part: Santosh, K. C.
    role:
      role term: editor.
  name:
    name part: Goncalves, Teresa
    role:
      role term: editor.
  name:
    name part: Das, Nibaran
    name part: 1981-
    role:
      role term: editor.
  name:
    name part: Roy, Kaushik
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: Milton
    publisher: CRC Press LLC
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiii, 168 pages) : illustrations
  abstract: 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.
  note: edited by Sk Md Obaidullah, KC Santosh, Teresa Gonç̧alves, Nibaran Das and Kaushik Roy.
  note: Sk Md Obaidullah has completed Ph. D(Engg.) from Jadavpur University, M. Tech in Computer Sc. & Application from University of Calcutta and B.E in Computer Sc. & Engineering from Vidyasagar University in the year 2017, 2009, 2004 respectively. He was Erasmus Post-Doctoral fellow funded by European Commission at University of Evora, Portugal from Nov. 2017 to Sept. 2018. He has more than eleven years of professional experience including two years in industry and nine years in academia out of which five years of research. Presently he is working as an Assistant Professor in the Dept. of Computer Science & Engineering, Aliah University, Kolkata. He has published more than 60 research articles in renowned journals and reputed national/international conferences. He is an active researcher in the field of Document Image Processing, Medical Image Analysis, Pattern Recognition, Machine Learning. K.C. Santosh (Senior Member, IEEE) is an Assistant Professor and Graduate Program Director for the department of computer science at University of South Dakota (USD). Also, Dr. Santosh serves the School of Computing and IT, Taylor's University as a Visiting Associate Professor. Before joining USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also worked as a research scientist at the INRIA Nancy Grand Est research centre, France, where, he completed his PhD diploma in Computer Science. Before that, he worked as a graduate research scholar at SIIT, Thammasat University, Thailand. He published more than 120 peer-reviewed research articles; 2 authored books (Springer); and edited 10 books, journal issues, and conference proceedings. Dr. Santosh serves as an associate editor for the International Journal of Machine Learning & Cybernetics. Dr. …
  subject:
    topic: Image analysis
  subject:
    topic: Document imaging systems
  subject:
    topic: Machine learning
  subject:
    topic: Optical character recognition
  subject:
    topic: Analyse d'images
  subject:
    topic: Gestion électronique de documents
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Reconnaissance optique des caractères
  subject:
    topic: optical character recognition
  subject:
    topic: COMPUTERS
    topic: Computer Graphics
    topic: Game Programming & Design
  subject:
    topic: COMPUTERS
    topic: Database Management
    topic: Data Mining
  subject:
    topic: COMPUTERS
    topic: Machine Theory
  subject:
    topic: Document imaging systems
  subject:
    topic: Image analysis
  subject:
    topic: Machine learning
  subject:
    topic: Optical character recognition
  classification: TA1637
  classification: 621.3670285631
  related item:
    title info:
      title: Document Processing Using Machine Learning
    name:
      name part: Obaidullah, Sk.
    origin info:
      publisher: Milton : CRC Press LLC, ©2019
  identifier: 9781000739534
  identifier: 1000739538
  identifier: 9780429277573
  identifier: 0429277571
  identifier: 9781000739831
  identifier: 100073983X
  identifier: 9781000739688
  identifier: 1000739686
  identifier: 9780429277573 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 191130
    record change date: 20241108165656.3
    record identifier: in00005522366
    language of cataloging:
      language term: eng