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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...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6860927/ https://ncbi.nlm.nih.gov/pubmed/31738784 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0225041 |
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