Reproducible Research in Pattern Recognition : First International Workshop, RRPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers

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. Front Matter....Pages I-X Front Matter....Pages 1-1 The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research....Pages 3-16 The DAE Platform: A Framework for Reproducible Research in Document Image Analysis....Pages 17-29 Front Matter....Pages 31-31 An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods....Pages 33-47 Reproducible Pattern Recognition Research: The Case of Optimistic SSL....Pages 48-59 OpenMVG: Open Multiple View Geometry....Pages 60-74 A Novel Definition of Robustness for Image Processing Algorithms....Pages 75-87 Front Matter....Pages 89-89 Numerical Implementation of the Ambrosio-Tortorelli Functional Using Discrete Calculus and Application to Image Restoration and Inpainting....Pages 91-103 RSSL: Semi-supervised Learning in R....Pages 104-115 On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation Map....Pages 116-130 An Algorithm to Decompose Noisy Digital Contours....Pages 131-149 Algorithms and Implementation for Segmenting Tree Log Surface Defects....Pages 150-166 The Multiscale Line Segment Detector....Pages 167-178 Back Matter....Pages 179-179