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Reproducible Research in Pattern Recognition -

Reproducible Research in Pattern Recognition

Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
Buch | Softcover
X, 157 Seiten
2019
Springer International Publishing (Verlag)
978-3-030-23986-2 (ISBN)
CHF 74,85 inkl. MwSt
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.

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. 

Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo X, 157 p. 172 illus., 61 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 266 g
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Image Analysis • image enhancement • Image Processing • Image Segmentation • pattern recognition • reproducibility • reproducible research • Software engineering • Source codes
ISBN-10 3-030-23986-1 / 3030239861
ISBN-13 978-3-030-23986-2 / 9783030239862
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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