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Reproducible Research in Pattern Recognition

First International Workshop, RRPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Bertrand Kerautret

    1. University of Lorraine, Nancy, France

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  2. Miguel Colom

    1. CMLA, Ecole Normale Supérieure, Cachan, France

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  3. Pascal Monasse

    1. LIGM Ecole des Ponts, UPE, Marne-la-Vallée, France

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10214)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: RRPR 2016.

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Table of contents (12 papers)

  1. Front Matter

    Pages I-X
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  2. Invited Talks

    1. Front Matter

      Pages 1-1
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    2. The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research

      • Martín Arévalo, Carlos Escobar, Pascal Monasse, Nelson Monzón, Miguel Colom
      Pages 3-16

    3. The DAE Platform: A Framework for Reproducible Research in Document Image Analysis

      • Bart Lamiroy, Daniel P. Lopresti
      Pages 17-29

  3. Reproducible Research Framework

    1. Front Matter

      Pages 31-31
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    2. An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods

      • Michal Balazia, Petr Sojka
      Pages 33-47

    3. Reproducible Pattern Recognition Research: The Case of Optimistic SSL

      • Jesse H. Krijthe, Marco Loog
      Pages 48-59

    4. OpenMVG: Open Multiple View Geometry

      • Pierre Moulon, Pascal Monasse, Romuald Perrot, Renaud Marlet
      Pages 60-74

    5. A Novel Definition of Robustness for Image Processing Algorithms

      • Antoine Vacavant
      Pages 75-87

  4. Reproducible Research Results

    1. Front Matter

      Pages 89-89
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    2. Numerical Implementation of the Ambrosio-Tortorelli Functional Using Discrete Calculus and Application to Image Restoration and Inpainting

      • Marion Foare, Jacques-Olivier Lachaud, Hugues Talbot
      Pages 91-103

    3. RSSL: Semi-supervised Learning in R

      • Jesse H. Krijthe
      Pages 104-115

    4. On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation Map

      • Bertrand Kerautret, Adrien Krähenbühl, Isabelle Debled-Rennesson, Jacques-Olivier Lachaud
      Pages 116-130

    5. An Algorithm to Decompose Noisy Digital Contours

      • Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson, Bertrand Kerautret
      Pages 131-149

    6. Algorithms and Implementation for Segmenting Tree Log Surface Defects

      • Van-Tho Nguyen, Bertrand Kerautret, Isabelle Debled-Rennesson, Francis Colin, Alexandre Piboule, Thiéry Constant
      Pages 150-166

    7. The Multiscale Line Segment Detector

      • Yohann Salaün, Renaud Marlet, Pascal Monasse
      Pages 167-178

  5. Back Matter

    Pages 179-179
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  1. Reproducible Research in Pattern Recognition

Keywords

About this book

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.

Editors and Affiliations

  • University of Lorraine, Nancy, France

    Bertrand Kerautret

  • CMLA, Ecole Normale Supérieure, Cachan, France

    Miguel Colom

  • LIGM Ecole des Ponts, UPE, Marne-la-Vallée, France

    Pascal Monasse

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