This workshop aims to give an overview of Reproducible Research (RR) for authors, with a special focus on Pattern Recognition algorithms. 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 with presentations on recent RR results. Some existing platforms and tools to do RR will be presented, and invited guest speakers will explain how their platform and journal work.
Submission deadline: 31 August 2016 3 October 2016
Author notification: 25 September 2016 31 October 1016
Camera-ready:1 October 2016 15 november
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)
Link to installation procedure.
For this track, the topics could overlap with the main topics of the ICPR tracks:
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
Among the accepted contributions, a set of selected papers will be proposed to be published in a Special Issue of IPOL journal.
Proceedings will be published by Springer Verlag in LNCS volume (as post proceedings)