Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11455)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): RRPR: International Workshop on Reproducible Research in Pattern Recognition
Conference proceedings info: RRPR 2018.
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Table of contents (14 papers)
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Front Matter
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RRPR Short Papers
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Front Matter
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Invited Reproducible Research Contributions
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Front Matter
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Back Matter
About this book
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
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LIRIS, Université de Lyon 2, Bron, France
Bertrand Kerautret
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CMLA, ENS Cachan, CNRS, Université Paris-Saclay, Cachan, France
Miguel Colom
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Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA
Daniel Lopresti
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Laboratoire d'Informatique Gaspard-Monge, Ecole des Ponts Paristech, Marne-la-Vallée, France
Pascal Monasse
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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
