Methods for Finding the Offset in Robust Subspace Fitting
Abstract: We propose a method for finding the offset in robust PCA which differs from the often used geometric median and arises in a natural way from maximizing the log‐likelihood estimator of a heavy‐tailed Student's t‐distribution. Proof‐of‐concept numerical comparisons with other algorithms show the very good behavior of our approach.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Methods for Finding the Offset in Robust Subspace Fitting ; volume:19 ; number:1 ; year:2019 ; extent:2
Proceedings in applied mathematics and mechanics ; 19, Heft 1 (2019) (gesamt 2)
- Creator
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Lellmann, Jan
Neumayer, Sebastian
Nimmer, Max
Steidl, Gabriele
- DOI
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10.1002/pamm.201900323
- URN
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urn:nbn:de:101:1-2022072208012750294660
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
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Associated
- Lellmann, Jan
- Neumayer, Sebastian
- Nimmer, Max
- Steidl, Gabriele
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Grundlagen schneller Algorithmen für verallgemeinerte diskrete Fouriertransformationen
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A note on the dual treatment of higher order regularization functionals
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