Buch, Englisch, 163 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 277 g
Fifth International Workshop, RRPR 2024, Kolkata, India, December 1, 2024, Revised Selected Papers
Buch, Englisch, 163 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 277 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-97821-0
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- 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.
