Reproducible Research in Pattern Recognition Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kerautret, Bertrand (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Colom, Miguel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lopresti, Daniel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Monasse, Pascal (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Talbot, Hugues (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11455
• Θέματα: Pattern recognition.; Optical data processing.; Software engineering.; Artificial intelligence.; Pattern Recognition.; Image Processing and Computer Vision.; Software Engineering.; Artificial Intelligence.

 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. 

 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. .