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Deep Learning in Mining of Visual Content

  • Akka Zemmari
  • Jenny Benois-Pineau
Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Akka Zemmari, Jenny Benois-Pineau
    Pages 1-3
  3. Akka Zemmari, Jenny Benois-Pineau
    Pages 5-11
  4. Akka Zemmari, Jenny Benois-Pineau
    Pages 13-20
  5. Akka Zemmari, Jenny Benois-Pineau
    Pages 21-33
  6. Akka Zemmari, Jenny Benois-Pineau
    Pages 35-48
  7. Akka Zemmari, Jenny Benois-Pineau
    Pages 49-58
  8. Akka Zemmari, Jenny Benois-Pineau
    Pages 59-69
  9. Akka Zemmari, Jenny Benois-Pineau
    Pages 71-85
  10. Akka Zemmari, Jenny Benois-Pineau
    Pages 87-97
  11. Back Matter
    Pages 99-110

About this book

Introduction


Keywords

Artificial Intelligence Supervised Machine Learning Deep Learning Artificial Neural Networks Convolutional Neural Networks Recurrent Neural Networks Long Short-Term Memory Hidden Markov Chains Data Mining Optimization Methods Computer Vision Domain Knowledge Objects Recognition Visual Indexing

Authors and affiliations

  • Akka Zemmari
    • 1
  • Jenny Benois-Pineau
    • 2
  1. 1.Laboratoire Bordelais de Recherche en Informatique (LaBRI)University of BordeauxTalence CedexFrance
  2. 2.Laboratoire Bordelais de Recherche en Informatique (LaBRI)University of BordeauxTalence CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-34376-7
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-34375-0
  • Online ISBN 978-3-030-34376-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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