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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...
Autores principales: | Stolz, Bernadette J., Tanner, Jared, Harrington, Heather A., Nanda, Vidit |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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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 |
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