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    Perspectives on CUR decompositions

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    CURCharacterizationArXiv.pdf
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    Author
    Hamm, Keaton
    Huang, Longxiu
    Affiliation
    Univ Arizona, Dept Math
    Issue Date
    2020-05
    Keywords
    CUR Decomposition
    Low Rank Matrix Approximation
    Column Subset Selection
    
    Metadata
    Show full item record
    Publisher
    ACADEMIC PRESS INC ELSEVIER SCIENCE
    Citation
    Hamm, K., & Huang, L. (2020). Perspectives on CUR decompositions. Applied and Computational Harmonic Analysis, 48(3), 1088-1099. doi:10.1016/j.acha.2019.08.006
    Journal
    APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
    Rights
    © 2019 Elsevier Inc. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    This note discusses an interesting matrix factorization called the CUR Decomposition. We illustrate various viewpoints of this method by comparing and contrasting them in different situations. Additionally, we offer a new characterization of CUR decompositions which synergizes these viewpoints and shows that they are indeed the same in the exact decomposition case. (C) 2019 Elsevier Inc. All rights reserved.
    Note
    24 month embargo; published online: 5 September 2019
    ISSN
    1063-5203
    DOI
    10.1016/j.acha.2019.08.006
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.acha.2019.08.006
    Scopus Count
    Collections
    UA Faculty Publications

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