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Robust subspace recovery by Tyler's M-es...

Zhang, Teng...

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Robust subspace recovery by Tyler's M-estimator by Zhang, Teng ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	02-08-2023
Summary	This paper considers the problem of robust subspace recovery: given a set of $N$ points in $\mathbb{R}^D$, if many lie in a $d$-dimensional subspace, then can we recover the underlying subspace? We show that Tyler's M-estimator can be used to recover the underlying subspace, if the percentage of the inliers is larger than $d/D$ and the data points lie in general position. Empirically, Tyler's M-estimator compares favorably with other convex subspace recovery algorithms in both simulations and experiments on real data sets.
ISBN	-
Item Type	Article
File Type	pdf
File Size	30.00 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1206.1386

Citation

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AMA 11th EditionReferences

Zhang, Teng. Robust subspace recovery by Tyler's M-estimator. Australian National University. August 02, 2023. Accessed August 10, 2025. https://online.provdatabase.com/cite/9630

APA 7th EditionReferences

Zhang, Teng. (2023). Robust subspace recovery by Tyler's M-estimator. Australian National University. https://online.provdatabase.com/cite/9630

Chicago 17th EditionReferences

Zhang, Teng. Robust subspace recovery by Tyler's M-estimator. Australian National University. 2023. https://online.provdatabase.com/cite/9630

HarvardReferences

Zhang, Teng. (2023). Robust subspace recovery by Tyler's M-estimator. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/9630. (Accessed 10 August 2025).

Harvard AustraliaReferences

Zhang, Teng, 2023, Robust subspace recovery by Tyler's M-estimator, Australian National University, viewed 10 August 2025, <https://online.provdatabase.com/cite/9630>

MLA 9th EditionWorks Cited

Zhang, Teng. Robust subspace recovery by Tyler's M-estimator. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/9630.

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