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...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
National Academy of Sciences
2020
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