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Reproducible Research in Pattern Recognition
Details
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030239862
- Auflage 1st edition 2019
- Editor Bertrand Kerautret, Miguel Colom, Hugues Talbot, Pascal Monasse, Daniel Lopresti
- Sprache Englisch
- Genre Anwendungs-Software
- Größe H235mm x B155mm x T10mm
- Jahr 2019
- EAN 9783030239862
- Format Kartonierter Einband
- ISBN 3030239861
- Veröffentlichung 29.06.2019
- Titel Reproducible Research in Pattern Recognition
- Untertitel Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
- Gewicht 265g
- Herausgeber Springer International Publishing
- Anzahl Seiten 168
- Lesemotiv Verstehen