Cargando…
An Approach to Growth Delimitation of Straight Line Segment Classifiers Based on a Minimum Bounding Box
Several supervised machine learning algorithms focused on binary classification for solving daily problems can be found in the literature. The straight-line segment classifier stands out for its low complexity and competitiveness, compared to well-knownconventional classifiers. This binary classifie...
Autores principales: | Medina-Rodríguez, Rosario, Beltrán-Castañón, César, Hashimoto, Ronaldo Fumio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618207/ https://www.ncbi.nlm.nih.gov/pubmed/34828241 http://dx.doi.org/10.3390/e23111541 |
Ejemplares similares
-
Measuring Straight Line Segments Using HT Butterflies
por: Du, Shengzhi, et al.
Publicado: (2012) -
Point Cloud Instance Segmentation with Inaccurate Bounding-Box Annotations
por: Peng, Yinyin, et al.
Publicado: (2023) -
DFBX boxes - electrical and cryogenic distribution boxes for the superconducting magnets in the LHC straight sections
por: Zbasnik, J P, et al.
Publicado: (2003) -
Assessment of multiresolution segmentation for delimiting drumlins in digital elevation models
por: Eisank, Clemens, et al.
Publicado: (2014) -
Building an associative classifier with multiple minimum supports
por: Hu, Li-Yu, et al.
Publicado: (2016)