Reproducible Research in Pattern Recognition

Fifth International Workshop, RRPR 2024, Kolkata, India, December 1, 2024, Revised Selected Papers

AvBertrand Kerautret,Federico Bolelli

Häftad, Engelska, 2025

Del 15705 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-09-01
Mått:155 x 235 x 10 mm
Vikt:277 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:163
Förlag:Springer International Publishing AG
ISBN:9783031978210

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Innehållsförteckning

.- 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 Comparative Study 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 Knowledge Distillation and Quantization..- BarBeR - Barcode Benchmark Repository:Implementation and Reproducibility Notes..- Research Reproducibility Paper: Learning Neural Networks forMulti-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient..- Resolution-Robust Medical Image Registration Method Based on Fourier Neural Operator: Implementation and Reproducibility Aspects..- MeDiANet Implementation and Reproducibility Details..- On Reproducibility of Graph Neural Network for Facial Palsy and Paresis Assessment: Effects of Pose Variability in Dataset..- Implementatipn and Reproducibility Notes on GolfSwing Dataset and GolfPose Models..- Implementation and Reproducibility Notes on EMPATH: Enhancing Word-Level Sign Language Recognition..- Exploring the Impact of Model Parameters and Components on Video Saliency Prediction with Foundation Models.