Following the success of the first workshop Reproducible Research on Pattern Recognition that held at the previous ICPR event 2016, this event will propose a new edition in continuation of the previous event  with a new special focus on Digital Geometry and Mathematical Morphology. As for the previous edition, it is intended as both a participative short course on the basis of RR with open discussions with the attendants, and also as a practical workshop on how to do actual RR.

Important dates

Submission deadline: May 28, 2018 

Author notification: July 6, 2018

Camera-ready: July 16, 2018

Call For Paper

This Call for Papers expects two kinds of contributions.

The first one (Track 1 on RR Framework) is dedicated to the general topic of Reproducible Research in Computer Science with a potential link to Image Processing and Pattern Recognition. Papers describing experiences, frameworks or platforms are welcome. The contributions might also include discussions on software libraries, experiences highlighting how their work benefits from Reproducible Research.

In the second kind of contributions (Track 2 on RR Results), authors will be invited to describe their work in terms of Reproducible Research.  For example, authors of already accepted ICPR papers might propose a companion paper describing their quality of reproducible research. In particular the papers of this track can focus mainly for instance on (not limited):

  • Implementation details of the algorithms
  • Link of algorithms with source code given by the authors
  • Potential parameter influence for the result quality (criteria to choose them)
  • Integrating source code in other framework
  • Potential known limitations (or difficult cases)
  • Future improvements
  • Link to installation procedure.

For this track, the topics could overlap with the main topics of the ICPR tracks:

  • Discrete Geometry and Mathematical Morphology
  • Pattern Recognition and Machine Learning
  • Computer Vision and Robot Vision
  • Image, Speech, Signal, and Video Processing
  • Document Analysis, Biometrics, and Pattern Recognition Applications
  • Biomedical Image Analysis and Applications

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