Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12894)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2021.
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About this book
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.
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Keywords
- artificial intelligence
- computer hardware
- computer networks
- computer science
- computer systems
- computer vision
- databases
- education
- engineering
- image analysis
- image processing
- internet
- learning
- machine learning
- mathematics
- network architecture
- network protocols
- neural networks
- reinforcement learning
- signal processing
Table of contents (57 papers)
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Model Compression
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Multi-task and Multi-label Learning
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Normalization and Regularization Methods
Other volumes
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
Editors and Affiliations
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: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-86380-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86379-1Published: 11 September 2021
eBook ISBN: 978-3-030-86380-7Published: 10 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIV, 703
Number of Illustrations: 32 b/w illustrations, 210 illustrations in colour
Topics: Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Information Systems Applications (incl. Internet), Computer Systems Organization and Communication Networks, Computer Imaging, Vision, Pattern Recognition and Graphics