Reproducible Research in Pattern Recognition: Second International Workshop, RRP

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Reproducible Research in Pattern Recognition by Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot

This book constitutes the thoroughly refereed post-workshop proceedingsof the Second International Workshop on Reproducible Research in PatternRecognition, RRPR 2018, in Beijing, China in August 2018.
The 8 revised full papers, presented together 6 short papers, werecarefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and MathematicalMorphology.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.

FORMAT
Paperback LANGUAGE
English CONDITION
Brand New 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.

Details ISBN3030239861 Year 2019 ISBN-10 3030239861 ISBN-13 9783030239862 Pages 157 Publication Date 2019-06-29 Short Title Reproducible Research in Pattern Recognition Language English Format Paperback Subtitle Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers DOI 10.1007/978-3-030-23987-9 Series Number 11455 Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Author Hugues Talbot Publisher Springer Nature Switzerland AG Edited by Hugues Talbot DEWEY 006.4 Audience Professional & Vocational Edition Description 2019 ed. Edition 2019th Country of Origin NL Product Class Description Computing: Professional & Programming Series Lecture Notes in Computer Science Alternative 9783030239879 Illustrations 61 Illustrations, color; 111 Illustrations, black and white
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