A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes
Contributo in Atti di convegno
Data di Pubblicazione:
2021
Citazione:
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes / Bolelli, Federico; Allegretti, Stefano; Grana, Costantino. - 12636:(2021), pp. 139-145. ( 3rd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021 Milan, Italy Jan 10-15) [10.1007/978-3-030-76423-4_9].
Abstract:
This paper provides a detailed description of how to install, setup, and use the YACCLAB benchmark to test the algorithms published in "A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes," underlying how the parameters affect and influence experimental results.
Tipologia CRIS:
Relazione in Atti di Convegno
Elenco autori:
Bolelli, Federico; Allegretti, Stefano; Grana, Costantino
Link alla scheda completa:
Titolo del libro:
Reproducible Research in Pattern Recognition
Pubblicato in: