On statistical learning of simplices: Unmixing problem revisited
We study the sample complexity of learning a high-dimensional simplex from a set of points uniformly sampled from its interior. Learning of simplices is a long studied problem in computer science and has applications in computational biology and remote sensing, mostly under the name of "spectra...
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Veröffentlicht in: | The Annals of statistics 2021-06, Vol.49 (3), p.1626 |
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Sprache: | eng |
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