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.

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. (Intervento presentato al convegno 3rd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021 tenutosi a Milan, Italy nel Jan 10-15) [10.1007/978-3-030-76423-4_9].

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

Bolelli Federico;Allegretti Stefano;Grana Costantino
2021

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.
2021
3rd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021
Milan, Italy
Jan 10-15
12636
139
145
Bolelli, Federico; Allegretti, Stefano; Grana, Costantino
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. (Intervento presentato al convegno 3rd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021 tenutosi a Milan, Italy nel Jan 10-15) [10.1007/978-3-030-76423-4_9].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1225881
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