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Cited by 296

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

An Order-$p$ Tensor Factorization with Applications in Imaging

Martin, Carla D., Shafer, Richard, LaRue, Betsy·2013·SIAM Journal on Scientific Computing

Abstract

Operations with tensors, or multiway arrays, are increasingly prevalent in many applications involving multiway data analysis. This paper extends a third-order factorization strategy and tensor operations defined in a recent paper [M. E. Kilmer and C. D. Martin, Linear Algebra Appl., 435 (2011), pp. 641--658] to order-$p$ tensors. The extension to order-$p$ tensors is explained in a recursive way but for computational speed is implemented directly using the fast Fourier transform. A major motivation for considering factorization strategies for order-$p$ tensors is to devise new types of algorithms for general order-$p$ tensors which can be used in applications. We conclude with two applications in imaging. The first application is image deblurring, and the second application is video facial recognition. Both applications involve order-4 tensors.

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Metadata

Authors
Martin, C. D., Shafer, R., & LaRue, B.
Venue
SIAM Journal on Scientific Computing
Published
2013-01
Volume
35
Issue
1
Pages
A474-A490
ISSN
  • 1064-8275 (ISSN-L)
  • 1095-7197
OpenAlex
W2000015923
Cited by
296
References
11
FWCI
1.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Order-$p$ Tensor Factorization with Applications in Imaging. https://app.cochat.ai/papers/10.1137/110841229
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Martin, C. D., Shafer, R., & LaRue, B. (2013). An Order-$p$ Tensor Factorization with Applications in Imaging. SIAM Journal on Scientific Computing. https://doi.org/10.1137/110841229

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