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Reproducible Research in Pattern Recognition

Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11455)

Included in the following conference series:

Conference proceedings info: RRPR 2018.

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Table of contents (14 papers)

  1. Invited Talks

  2. Reproducible Research Results

  3. RRPR Short Papers

  4. Invited Reproducible Research Contributions

Other volumes

  1. Reproducible Research in Pattern Recognition

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018, in Beijing, China in August 2018.


The 8 revised full papers, presented together 6 short papers, were carefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and Mathematical Morphology. 
The first track 1 on RR Framework was dedicated to the general topics of Reproducible Research in Computer Science
with a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.


Editors and Affiliations

  • LIRIS, Université de Lyon 2, Bron, France

    Bertrand Kerautret

  • CMLA, ENS Cachan, CNRS, Université Paris-Saclay, Cachan, France

    Miguel Colom

  • Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA

    Daniel Lopresti

  • Laboratoire d'Informatique Gaspard-Monge, Ecole des Ponts Paristech, Marne-la-Vallée, France

    Pascal Monasse

  • CentraleSupelec, Universite Paris-Saclay, Gif-sur-Yvette, France

    Hugues Talbot

Bibliographic Information

  • Book Title: Reproducible Research in Pattern Recognition

  • Book Subtitle: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers

  • Editors: Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-23987-9

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-23986-2Published: 29 June 2019

  • eBook ISBN: 978-3-030-23987-9Published: 28 June 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 157

  • Number of Illustrations: 111 b/w illustrations, 61 illustrations in colour

  • Topics: Pattern Recognition

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