Reproducible Research in Pattern Recognition
Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
Published on 28. June 2019
X, 157 pages
978-3-030-23987-9 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
X, 157 p. 172 illus., 61 illus. in color.
File size
16,28 MB
ISBN-13
978-3-030-23987-9 (9783030239879)
DOI
10.1007/978-3-030-23987-9
Schweitzer Classification
Other editions
Additional editions
Bertrand Kerautret | Miguel Colom | Daniel Lopresti
Reproducible Research in Pattern Recognition
Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
Book
06/2019
Springer
€53.49
Shipment within 7-9 days
Content
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.
