Theoretical Computer Science and General Issues
cover

Artificial Neural Networks and Machine Learning – ICANN 2021

30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part IV

Editors: Farkaš, I., Masulli, P., Otte, S., Wermter, S. (Eds.)

Buy this book

eBook 74,89 €
price for Spain (gross)
  • ISBN 978-3-030-86380-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 93,59 €
price for Spain (gross)
  • ISBN 978-3-030-86379-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes.

In this volume, the papers focus on topics such as model compression, multi-task and multi-label learning, neural network theory, normalization and regularization methods, person re-identification, recurrent neural networks, and reinforcement learning.

*The conference was held online 2021 due to the COVID-19 pandemic.

Table of contents (56 chapters)

Table of contents (56 chapters)
  • Blending Pruning Criteria for Convolutional Neural Networks

    Pages 3-15

    He, Wei (et al.)

  • BFRIFP: Brain Functional Reorganization Inspired Filter Pruning

    Pages 16-28

    Qiu, Shoumeng (et al.)

  • CupNet – Pruning a Network for Geometric Data

    Pages 29-33

    Heese, Raoul (et al.)

  • Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning

    Pages 34-45

    Zhang, Jiacheng (et al.)

  • Gator: Customizable Channel Pruning of Neural Networks with Gating

    Pages 46-58

    Passov, Eli (et al.)

Buy this book

eBook 74,89 €
price for Spain (gross)
  • ISBN 978-3-030-86380-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 93,59 €
price for Spain (gross)
  • ISBN 978-3-030-86379-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Services for this Book

Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks and Machine Learning – ICANN 2021
Book Subtitle
30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part IV
Editors
  • Igor Farkaš
  • Paolo Masulli
  • Sebastian Otte
  • Stefan Wermter
Series Title
Theoretical Computer Science and General Issues
Series Volume
12894
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-86380-7
DOI
10.1007/978-3-030-86380-7
Softcover ISBN
978-3-030-86379-1
Edition Number
1
Number of Pages
XXIV, 703
Number of Illustrations
32 b/w illustrations, 210 illustrations in colour
Topics