Reproducible Research in Pattern Recognition

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Details

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.


Klappentext

.- 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.


Inhalt

.- 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031978210
    • Genre Information Technology
    • Editor Bertrand Kerautret, Federico Bolelli, Miguel Colom, Daniel Lopresti
    • Lesemotiv Verstehen
    • Anzahl Seiten 163
    • Größe H10mm x B155mm x T235mm
    • Jahr 2025
    • EAN 9783031978210
    • Format Kartonierter Einband
    • ISBN 978-3-031-97821-0
    • Titel Reproducible Research in Pattern Recognition
    • Untertitel Fifth International Workshop, RRPR 2024, Kolkata, India, December 1, 2024, Revised Selected Papers
    • Gewicht 277g
    • Herausgeber Springer
    • Sprache Englisch

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