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Pattern Recognition

7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14407)

Included in the following conference series:

Conference proceedings info: ACPR 2023.

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About this book

This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.

Keywords

Table of contents (31 papers)

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Editors and Affiliations

  • Kyushu Institute of Technology, Kitakyushu, Japan

    Huimin Lu, Tohru Kamiya

  • The University of Sydney, Sydney, Australia

    Michael Blumenstein

  • Yonsei University, Seoul, Korea (Republic of)

    Sung-Bae Cho

  • Chinese Academy of Sciences, Bejing, China

    Cheng-Lin Liu

  • Osaka University, Osaka, Japan

    Yasushi Yagi

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part II

  • Editors: Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-47637-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-47636-5Published: 05 November 2023

  • eBook ISBN: 978-3-031-47637-2Published: 04 November 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 425

  • Number of Illustrations: 13 b/w illustrations, 149 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Pattern Recognition

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