Reproducible Research in Pattern Recognition Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers /
Reproducible Research in Pattern Recognition Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers / [electronic resource] :
edited by Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot.
- 1st ed. 2019.
- X, 157 p. 172 illus., 61 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11455 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11455 .
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.
9783030239879
10.1007/978-3-030-23987-9 doi
Pattern recognition systems.
Computer vision.
Software engineering.
Artificial intelligence.
Automated Pattern Recognition.
Computer Vision.
Software Engineering.
Artificial Intelligence.
Q337.5 TK7882.P3
006.4
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.
9783030239879
10.1007/978-3-030-23987-9 doi
Pattern recognition systems.
Computer vision.
Software engineering.
Artificial intelligence.
Automated Pattern Recognition.
Computer Vision.
Software Engineering.
Artificial Intelligence.
Q337.5 TK7882.P3
006.4