Reproducible Research in Pattern Recognition: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
Author:   Bertrand Kerautret ,  Miguel Colom ,  Daniel Lopresti ,  Pascal Monasse
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11455
ISBN:  

9783030239862


Pages:   157
Publication Date:   29 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Reproducible Research in Pattern Recognition: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers


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Overview

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 Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.

Full Product Details

Author:   Bertrand Kerautret ,  Miguel Colom ,  Daniel Lopresti ,  Pascal Monasse
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11455
Weight:   0.454kg
ISBN:  

9783030239862


ISBN 10:   3030239861
Pages:   157
Publication Date:   29 June 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reproducible Research.- Reproducibility.- Pattern Recognition.- Image Processing.- Image Analysis.- Computer Vision.- Digital Geometry.- Semi-supervised Learning.- Shape analysis.- Evaluation Framework.- Document Image Analysis.- Image Denoising.- Robust Image Processing.- Structure from Motion.- Multiple-view Geometry.- Segment Detection.- IPOL. 

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