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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

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)

  1. Front Matter

    Pages i-xxiv
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  2. Pattern Recognition

    1. Front Matter

      Pages 1-1
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    2. PE-former: Pose Estimation Transformer

      • Paschalis Panteleris, Antonis Argyros
      Pages 3-14

    3. ConDense: Multiple Additional Dense Layers with Fine-Grained Fully-Connected Layer Optimisation for Fingerprint Recognition

      • Dane Lang, Dustin van der Haar
      Pages 15-27

    4. A Sensor-Independent Multimodal Fusion Scheme for Human Activity Recognition

      • Anastasios Alexiadis, Alexandros Nizamis, Dimitrios Giakoumis, Konstantinos Votis, Dimitrios Tzovaras
      Pages 28-39

    5. Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model

      • John Doherty, Bryan Gardiner, Emmett Kerr, Nazmul Siddique, Sunilkumar S. Manvi
      Pages 40-52

    6. Application of A\(^*\) to the Generalized Constrained Longest Common Subsequence Problem with Many Pattern Strings

      • Marko Djukanovic, Dragan Matic, Christian Blum, Aleksandar Kartelj
      Pages 53-64

    7. Robot Path Planning Method Based on Improved Grey Wolf Optimizer

      • Yilin Su, Yongsheng Li, Lina Ge, Minjun Dai
      Pages 65-77

    8. Space-Time Memory Networks for Multi-person Skeleton Body Part Detection

      • Rémi Dufour, Cyril Meurie, Olivier Lézoray, Ankur Mahtani
      Pages 78-90

    9. Lip-Based Identification Using YOLOR

      • Wardah Farrukh, Dustin van der Haar
      Pages 91-101

    10. Parallel \(\mathcal{O}(log(n))\) Computation of the Adjacency of Connected Components

      • Majid Banaeyan, Walter G. Kropatsch
      Pages 102-113

    11. Encoding Sensors’ Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment

      • Issam Boukhennoufa, Xiaojun Zhai, Victor Utti, Jo Jackson, Klaus D. McDonald-Maier
      Pages 114-123

    12. Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics

      • Shitala Prasad, Pankaj Pratap Singh, Piyush Kumar
      Pages 124-136

  3. Classification

    1. Front Matter

      Pages 137-137
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    2. Hierarchical Approach for the Classification of Multi-class Skin Lesions Based on Deep Convolutional Neural Networks

      • Samia Benyahia, Boudjelal Meftah, Olivier Lézoray
      Pages 139-149

    3. The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier

      • Matthew Middlehurst, Anthony Bagnall
      Pages 150-161

    4. Robust Detection of Conversational Groups Using a Voting Scheme and a Memory Process

      • Victor Fortier, Isabelle Bloch, Catherine Pélachaud
      Pages 162-173

    5. Fusing AutoML Models: A Case Study in Medical Image Classification

      • Melissa Dale, Arun Ross, Erik M. Shapiro
      Pages 174-185

    6. Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow

      • Philipp Gräbel, Martina Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
      Pages 186-195

    7. Towards Automated Monitoring of Parkinson’s Disease Following Drug Treatment

      • Amir Dehsarvi, Jennifer Kay South Palomares, Stephen Leslie Smith
      Pages 196-207
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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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