Reproducible Research in Pattern Recognition: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers: Lecture Notes in Computer Science, cartea 11455
Editat de Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talboten Limba Engleză Paperback – 29 iun 2019
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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Specificații
ISBN-13: 9783030239862
ISBN-10: 3030239861
Pagini: 151
Ilustrații: X, 157 p. 172 illus., 61 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030239861
Pagini: 151
Ilustrații: X, 157 p. 172 illus., 61 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
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.