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Multi-faceted Deep Learning

Models and Data

Editors: Benois-Pineau, Jenny, Zemmari, Akka (Eds.)

  • Presents high priority problems in the field of Deep Learning, Multimedia, Visual Data Representation, Interpretation and Coding
  • Covers low supervision and metric learning
  • Discusses cross-media and cross modality in decision making with DNNs
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eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: November 22, 2021
  • ISBN 978-3-030-74478-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 155,99 €
price for Spain (gross)
  • Due: November 22, 2021
  • ISBN 978-3-030-74477-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of  the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers  a comprehensive preamble for further  problem–oriented chapters. 

The most interesting and open problems of machine learning in the framework of  Deep Learning are discussed in this book and solutions are proposed.  This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks.  This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks. 

Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.

About the authors

Prof. Jenny Benois-Pineau is a full professor of Computer Science at the University Bordeaux. Her topics of interest include image/multimedia, artificial intelligence in multimedia and healthcare. She is the author and co-author of more than 200 papers in international journals, conference proceedings, books and book chapters. She is associated editor of Eurasip SPIC, ACM MTAP, senior associated editor JEI SPIE journals. She has organized workshops and special sessions at international conferences IEEE ICIP, ACM MM,... She has served in numerous program committees in international conferences: ACM MM, ACM ICMR, ACM CIVR, CBMI, IPTA, ACM MMM. She has been coordinator or leading researcher in EU – funded and French national research projects. She is a member of IEEE TC IVMSP. She has Knight of Academic Palms grade.

Dr. Akka Zemmari has received his Ph.D. degree from the University of Bordeaux 1, France, in 2000. He is an associate professor in computer science since 2001 at University of Bordeaux, France. His research interests include Artificial Intelligence, Deep Learning, Distributed algorithms and systems, Graphs, Randomized Algorithms, and Security. He wrote one book and more than 80 research papers published in international journals and conference proceedings and he is involved in program committees and organization committees of international conferences. 

Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: November 22, 2021
  • ISBN 978-3-030-74478-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 155,99 €
price for Spain (gross)
  • Due: November 22, 2021
  • ISBN 978-3-030-74477-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Multi-faceted Deep Learning
Book Subtitle
Models and Data
Editors
  • Jenny Benois-Pineau
  • Akka Zemmari
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-74478-6
DOI
10.1007/978-3-030-74478-6
Hardcover ISBN
978-3-030-74477-9
Edition Number
1
Number of Pages
IV, 322
Number of Illustrations
20 b/w illustrations, 66 illustrations in colour
Topics