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Geometric anomaly detection in data

The quest for low-dimensional models which approximate high-dimensional data is pervasive across the physical, natural, and social sciences. The dominant paradigm underlying most standard modeling techniques assumes that the data are concentrated near a single unknown manifold of relatively small in...

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Detalles Bibliográficos
Autores principales: Stolz, Bernadette J., Tanner, Jared, Harrington, Heather A., Nanda, Vidit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443892/
https://www.ncbi.nlm.nih.gov/pubmed/32747569
http://dx.doi.org/10.1073/pnas.2001741117