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Publication search results
found 13 matches
- 2017
- Bertrand Kerautret, Miguel Colom, Pascal Monasse:
Reproducible Research in Pattern Recognition - First International Workshop, RRPR@ICPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10214, 2017, ISBN 978-3-319-56413-5 [contents] - 2016
- Martín Arévalo, Carlos Escobar, Pascal Monasse, Nelson Monzón, Miguel Colom:
The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research. RRPR@ICPR 2016: 3-16 - Michal Balazia, Petr Sojka:
An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods. RRPR@ICPR 2016: 33-47 - Marion Foare, Jacques-Olivier Lachaud, Hugues Talbot:
Numerical Implementation of the Ambrosio-Tortorelli Functional Using Discrete Calculus and Application to Image Restoration and Inpainting. RRPR@ICPR 2016: 91-103 - Bertrand Kerautret, Adrien Krähenbühl, Isabelle Debled-Rennesson, Jacques-Olivier Lachaud:
On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation Map. RRPR@ICPR 2016: 116-130 - Jesse H. Krijthe:
RSSL: Semi-supervised Learning in R. RRPR@ICPR 2016: 104-115 - Jesse H. Krijthe, Marco Loog:
Reproducible Pattern Recognition Research: The Case of Optimistic SSL. RRPR@ICPR 2016: 48-59 - Bart Lamiroy, Daniel P. Lopresti:
The DAE Platform: A Framework for Reproducible Research in Document Image Analysis. RRPR@ICPR 2016: 17-29 - Pierre Moulon, Pascal Monasse, Romuald Perrot, Renaud Marlet:
OpenMVG: Open Multiple View Geometry. RRPR@ICPR 2016: 60-74 - Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson, Bertrand Kerautret:
An Algorithm to Decompose Noisy Digital Contours. RRPR@ICPR 2016: 131-149 - Van-Tho Nguyen, Bertrand Kerautret, Isabelle Debled-Rennesson, Francis Colin, Alexandre Piboule, Thiéry Constant:
Algorithms and Implementation for Segmenting Tree Log Surface Defects. RRPR@ICPR 2016: 150-166 - Yohann Salaün, Renaud Marlet, Pascal Monasse:
The Multiscale Line Segment Detector. RRPR@ICPR 2016: 167-178 - Antoine Vacavant:
A Novel Definition of Robustness for Image Processing Algorithms. RRPR@ICPR 2016: 75-87
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