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Pattern Recognition and Artificial Intelligence

Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2022

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Overview

Editors:
  1. Mounîm El Yacoubi

    1. Télécom SudParis, Palaiseau, France

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  2. Eric Granger

    1. École de Technologie Supérieure, Montreal, Canada

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  3. Pong Chi Yuen

    1. Hong Kong Baptist University, Kowloon, Hong Kong

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  4. Umapada Pal

    1. Indian Statistical Institute, Kolkata, India

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  5. Nicole Vincent

    1. Université Paris Cité, Paris, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13364)

Included in the following conference series:

Conference proceedings info: ICPRAI 2022.

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About this book

This two-volume set constitutes the proceedings of the Third International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022, which took place in Paris, France, in June 2022.
The 98 full papers presented were carefully reviewed and selected from 192 submissions. The papers present new advances in the field of pattern recognition and artificial intelligence. They are organized in topical sections as follows: pattern recognition; computer vision; artificial intelligence; big data.


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Table of contents (42 papers)

  2. Machine Learning

    1. Front Matter

      Pages 233-233
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    2. Shop Signboards Detection Using the ShoS Dataset

      • Mrouj Almuhajri, Ching Y. Suen
      Pages 235-245
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    3. One-Shot Decoupled Face Reenactment with Vision Transformer

      • Chen Hu, Xianghua Xie
      Pages 246-257
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    4. ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation

      • Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi
      Pages 258-270
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    5. Deep Reinforcement Learning for Autonomous Navigation in Robotic Wheelchairs

      • Sotirios Chatzidimitriadis, Konstantinos Sirlantzis
      Pages 271-282
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    6. Understanding Individual Neurons of ResNet Through Improved Compositional Formulas

      • Rafael Harth
      Pages 283-294
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    7. Visual Transformer-Based Models: A Survey

      • Xiaonan Huang, Ning Bi, Jun Tan
      Pages 295-305
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    8. Stochastic Pairing for Contrastive Anomaly Detection on Time Series

      • Guillaume Chambaret, Laure Berti-Equille, Frédéric Bouchara, Emmanuel Bruno, Vincent Martin, Fabien Chaillan
      Pages 306-317
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    9. Visual Radial Basis Q-Network

      • Julien Hautot, Céline Teuliere, Nourddine Azzaoui
      Pages 318-329
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    10. GANs Based Conditional Aerial Images Generation for Imbalanced Learning

      • Itzel Belderbos, Tim de Jong, Mirela Popa
      Pages 330-342
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    11. Augment Small Training Sets Using Matching-Graphs

      • Mathias Fuchs, Kaspar Riesen
      Pages 343-354
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    12. Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data

      • Akshaykumar Gunari, Shashidhar V. Kudari, Ramesh Ashok Tabib, Uma Mudenagudi
      Pages 355-367
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    13. Malware Detection Using Pseudo Semi-Supervised Learning

      • Upinder Kaur, Xin Ma, Richard M. Voyles, Byung-Cheol Min
      Pages 368-379
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  3. Information Extraction

    1. Front Matter

      Pages 381-381
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    2. Temporal Disaggregation of the Cumulative Grass Growth

      • Thomas Guyet, Laurent Spillemaecker, Simon Malinowski, Anne-Isabelle Graux
      Pages 383-394
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    3. Extraction of Entities in Health Domain Documents Using Recurrent Neural Networks

      • Erick Barrios González, Mireya Tovar Vidal, Guillermo De Ita Luna, José A. Reyes-Ortiz
      Pages 395-406
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    4. An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs

      • Mariya Evtimova-Gardair, Nedra Mellouli
      Pages 407-418
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    5. Explaining Image Classifications with Near Misses, Near Hits and Prototypes

      • Marvin Herchenbach, Dennis Müller, Stephan Scheele, Ute Schmid
      Pages 419-430
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Other volumes

  1. Pattern Recognition and Artificial Intelligence

  2. Pattern Recognition and Artificial Intelligence

Editors and Affiliations

  • Télécom SudParis, Palaiseau, France

    Mounîm El Yacoubi

  • École de Technologie Supérieure, Montreal, Canada

    Eric Granger

  • Hong Kong Baptist University, Kowloon, Hong Kong

    Pong Chi Yuen

  • Indian Statistical Institute, Kolkata, India

    Umapada Pal

  • Université Paris Cité, Paris, France

    Nicole Vincent

Bibliographic Information

  • Book Title: Pattern Recognition and Artificial Intelligence

  • Book Subtitle: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part II

  • Editors: Mounîm El Yacoubi, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-09282-4

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-09281-7Published: 29 May 2022

  • eBook ISBN: 978-3-031-09282-4Published: 28 May 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 520

  • Number of Illustrations: 26 b/w illustrations, 166 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics

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