Cargando…
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for computer vision algorithms that extract useful informati...
Autores principales: | Whiteway, Matthew R., Biderman, Dan, Friedman, Yoni, Dipoppa, Mario, Buchanan, E. Kelly, Wu, Anqi, Zhou, John, Bonacchi, Niccolò, Miska, Nathaniel J., Noel, Jean-Paul, Rodriguez, Erica, Schartner, Michael, Socha, Karolina, Urai, Anne E., Salzman, C. Daniel, Cunningham, John P., Paninski, Liam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489729/ https://www.ncbi.nlm.nih.gov/pubmed/34550974 http://dx.doi.org/10.1371/journal.pcbi.1009439 |
Ejemplares similares
-
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools
por: Biderman, Dan, et al.
Publicado: (2023) -
Improved semi-supervised autoencoder for deception detection
por: Fu, Hongliang, et al.
Publicado: (2019) -
Semi-Supervised Learning for Defect Segmentation with Autoencoder Auxiliary Module
por: Sae-ang, Bee-ing, et al.
Publicado: (2022) -
Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders
por: Kucharski, Dariusz, et al.
Publicado: (2020) -
Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis
por: da Rosa, Tiago Gaspar, et al.
Publicado: (2022)