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  1. Research Outputs

A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes

Conference Paper
Publication Date:
2021
Short description:
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.
Iris type:
Relazione in Atti di Convegno
List of contributors:
Bolelli, Federico; Allegretti, Stefano; Grana, Costantino
Authors of the University:
BOLELLI FEDERICO
GRANA Costantino
Handle:
https://iris.unimore.it/handle/11380/1225881
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1225881/314631/2021_RRPR_A_Heuristic_Based_Decision_Tree_for_ConnectedComponents_Labeling_of_3D_Volumes_Implementation_and_Reproducibility_Notes.pdf
Book title:
Reproducible Research in Pattern Recognition
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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