Cargando…
Expectation-Maximization Binary Clustering for Behavioural Annotation
The growing capacity to process and store animal tracks has spurred the development of new methods to segment animal trajectories into elementary units of movement. Key challenges for movement trajectory segmentation are to (i) minimize the need of supervision, (ii) reduce computational costs, (iii)...
Autores principales: | Garriga, Joan, Palmer, John R. B., Oltra, Aitana, Bartumeus, Frederic |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803255/ https://www.ncbi.nlm.nih.gov/pubmed/27002631 http://dx.doi.org/10.1371/journal.pone.0151984 |
Ejemplares similares
-
Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes
por: Palmer, John R. B., et al.
Publicado: (2017) -
Deep learning identification for citizen science surveillance of tiger mosquitoes
por: Pataki, Balint Armin, et al.
Publicado: (2021) -
Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
por: Južnič-Zonta, Živko, et al.
Publicado: (2022) -
Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
por: Gutiérrez-Roig, M., et al.
Publicado: (2016) -
Automatic detection of false annotations via binary property clustering
por: Kaplan, Noam, et al.
Publicado: (2005)