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Reproducible Research in Pattern Recognition [electronic resource] : Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers / edited by Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot.

Contributor(s): Kerautret, Bertrand [editor.] | Colom, Miguel [editor.] | Lopresti, Daniel [editor.] | Monasse, Pascal [editor.] | Talbot, Hugues [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 11455Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: X, 157 p. 172 illus., 61 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030239879.Subject(s): Pattern recognition systems | Computer vision | Software engineering | Artificial intelligence | Automated Pattern Recognition | Computer Vision | Software Engineering | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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. .
In: Springer Nature eBookSummary: 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 Science with a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.
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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. .

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

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