1st Workshop on Reproducible Research in Pattern Recognition

Workshop Opening

Keynote 1: Image Processing On Line for Reproducible Research

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Pascal Monasse

Track2: Fast Track Poster Session (RR Results)

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› Algorithms and Implementation for Segmenting Tree Log Surface Defects - Van-Tho Nguyen 10:00-10:05 (05min)

› The multiscale line segment detector - Pascal Monasse 10:05-10:10 (05min)

› An algorithm to decompose noisy digital contours - Bertrand Kerautret, ADAGIO 10:10-10:15 (05min)

› An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods - Michal Balazia, Masaryk University, Faculty of Informatics 10:15-10:20 (05min)

› On the Implementation of Centerline Extraction based on Confidence Vote in Accumulation Map - Adrien Krähenbühl, Laboratoire Bordelais de Recherche en Informatique 10:20-10:25 (05min)

Coffee break & start of Track 1: RR Framework

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Track1: RR Framework

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› A Novel Definition of Robustness for Image Processing Algorithms - Antoine Vacavant, Image Science for Interventional Techniques 11:00-11:25 (25min)

› Reproducible Pattern Recognition Research: The Case of Optimistic SSL - Jesse Krijthe, Department of Molecular Epidemiology, Leiden University Medical Center, Pattern Recognition Laboratory, Delft University of Technology 11:25-11:50 (25min)

› OpenMVG: Open Multiple View Geometry - 11:50-12:15 (25min)

Lunch

Keynote 2: DAE platform in the context of Reproductible Research

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Daniel Lopresti and Bart Lamiroy

Discussions/poster session 2

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Coffee break & start of Track 3: RR Results

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Track2: RR Results

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› Numerical implementation of the Ambrosio-Tortorelli functional using discrete calculus and application to image restoration and inpainting - Marion Foare, Laboratoire de Mathématiques 15:10-15:35 (25min)

› RSSL: Semi-supervised Learning in R - Jesse Krijthe, Pattern Recognition Laboratory, Delft University of Technology, Department of Molecular Epidemiology, Leiden University Medical Center 15:35-16:00 (25min)

› An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods - Michal Balazia, Masaryk University, Faculty of Informatics 16:00-16:25 (25min)

Tutorial: Applying online demonstration of Image Processing algorithm

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Concluding exchange/discussions

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