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Reproducible Research in Pattern Recognition [electronic resource] : First International Workshop, RRPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers / edited by Bertrand Kerautret, Miguel Colom, Pascal Monasse.

Contributor(s): Material type: TextTextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10214 | Lecture Notes in Computer Science ; 10214Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: X, 179 p. 88 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319564142
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.4 23
LOC classification:
  • Q337.5
  • TK7882.P3
Online resources:
Contents:
Pattern recognition algorithms -- Reproducible research frameworks -- Reproducible research results -- Previous works on reproducible research.
In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, held in Cancún, Mexico, in December 2016. The 12 revised full papers, among them 2 invited talks, presented were carefully reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research results, previous works on reproducible research.
Item type: E-BOOKS
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Pattern recognition algorithms -- Reproducible research frameworks -- Reproducible research results -- Previous works on reproducible research.

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, held in Cancún, Mexico, in December 2016. The 12 revised full papers, among them 2 invited talks, presented were carefully reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research results, previous works on reproducible research.

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