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3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods
Boosting is a family of supervised learning algorithm that convert a set of weak learners into a single strong one. It is popular in the field of object tracking, where its main purpose is to extract the position, motion, and trajectory from various features of interest within a sequence of video fr...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860927/ https://www.ncbi.nlm.nih.gov/pubmed/31738784 http://dx.doi.org/10.1371/journal.pone.0225041 |