Cargando…
L-Tree: A Local-Area-Learning-Based Tree Induction Algorithm for Image Classification
The decision tree is one of the most effective tools for deriving meaningful outcomes from image data acquired from the visual sensors. Owing to its reliability, superior generalization abilities, and easy implementation, the tree model has been widely used in various applications. However, in image...
Autores principales: | Choi, Jaesung, Song, Eungyeol, Lee, Sangyoun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795769/ https://www.ncbi.nlm.nih.gov/pubmed/29361699 http://dx.doi.org/10.3390/s18010306 |
Ejemplares similares
-
Tree-Based and Machine Learning Algorithm Analysis for Breast Cancer Classification
por: Bhardwaj, Arpit, et al.
Publicado: (2022) -
Tree Crowns Segmentation and Classification in Overlapping Orchards Based on Satellite Images and Unsupervised Learning Algorithms
por: Moussaid, Abdellatif, et al.
Publicado: (2021) -
Meta-learning in decision tree induction
por: Grąbczewski, Krzysztof
Publicado: (2014) -
Classification of genomic islands using decision trees and their ensemble algorithms
por: Che, Dongsheng, et al.
Publicado: (2010) -
Classification and regression trees
por: Breiman, Leo, et al.
Publicado: (1984)