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| Link zu diesem Datensatz | https://d-nb.info/1375241389 |
| Titel | Reproducible Research in Pattern Recognition : Fifth International Workshop, RRPR 2024, Kolkata, India, December 1, 2024, Revised Selected Papers / edited by Bertrand Kerautret, Federico Bolelli, Miguel Colom, Daniel Lopresti |
| Person(en) |
Kerautret, Bertrand (Herausgeber) Bolelli, Federico (Herausgeber) Colom, Miguel (Herausgeber) Lopresti, Daniel (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, X, 163 p. 50 illus., 38 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-97821-0 Printed edition:: ISBN: 978-3-031-97823-4 |
| 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2509010406201.441728415910 DOI: 10.1007/978-3-031-97822-7 |
| URL | https://doi.org/10.1007/978-3-031-97822-7 |
| ISBN/Einband/Preis | 978-3-031-97822-7 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15705 |
| DDC-Notation | 006.42 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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