Reproducible Research in Pattern Recognition: Fifth International Workshop, RRPR

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Reproducible Research in Pattern Recognition by Bertrand Kerautret, Federico Bolelli, Miguel Colom, Daniel Lopresti

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2024, held in Kolkata, India, on December 1, 2024.

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This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2024, held in Kolkata, India, on December 1, 2024.The 5 full papers and 8 short papers included in this book were carefully reviewed and selected from 20 submissions.
RRPR 2024 book cover advances in platforms on reproducibility and new reproducible research results.

Table of Contents

.- Reproducible Research Framework and Results.
.- A Benchmark for Automated Vickers Hardness Testing.
.- Scratch Assay Assessment Benchmark.
.- Reducing Run-to-Run Variability in Neural Networks: A ComparativeStudy of Weight Optimization Methods.
.- A Minimal Neural Network for Reproducible Gesture Recognition on Knitted Capacitive Touch Sensors.
.- Unified Anomaly Detection methods on Edge Device using KnowledgeDistillation and Quantization.
.- BarBeR - Barcode Benchmark Repository:Implementation andReproducibility Notes.
.- Research Reproducibility Paper: Learning Neural Networks forMulti-label Medical Image Retrieval Using Hamming DistanceFabricated with Jaccard Similarity Coefficient.
.- Resolution-Robust Medical Image Registration Method Based onFourier Neural Operator: Implementation and Reproducibility Aspects.
.- MeDiANet Implementation and Reproducibility Details.
.- On Reproducibility of Graph Neural Network for Facial Palsy andParesis Assessment: Effects of Pose Variability in Dataset.
.- Implementatipn and Reproducibility Notes on GolfSwing Dataset andGolfPose Models.
.- Implementation and Reproducibility Notes on EMPATH: EnhancingWord-Level Sign Language Recognition.
.- Exploring the Impact of Model Parameters and Components on VideoSaliency Prediction with Foundation Models.

Details ISBN3031978218 Author Daniel Lopresti Publisher Springer International Publishing AG Series Lecture Notes in Computer Science Year 2025 ISBN-10 3031978218 ISBN-13 9783031978210 Format Paperback Imprint Springer International Publishing AG Subtitle Fifth International Workshop, RRPR 2024, Kolkata, India, December 1, 2024, Revised Selected Papers Place of Publication Cham Country of Publication Switzerland Edited by Daniel Lopresti Series Number 15705 Audience Professional & Vocational Country of Origin NL Product Class Description Computing: Professional & Programming DEWEY 006.4 Alternative 9783031978227 Pages 163 Illustrations 38 Illustrations, color; 12 Illustrations, black and white Publication Date 2025-09-01 UK Release Date 2025-09-01
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