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Extended Derivations for Chapter 4

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Robust Subspace Estimation Using Low-Rank Optimization

Part of the book series: The International Series in Video Computing ((VICO,volume 12))

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Abstract

In this chapter, we include the extended derivations for the solutions of the low-rank optimization problems which appeared in Chap. 4

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References

  1. J.-F. Cai, E.J. Candes, Z. Shen, A singular value thresholding algorithm for matrix completion. SIAM J. Optim. 20(4), 1956–1982 (2010)

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  2. Z. Lin, M. Chen, L. Wu, Y. Ma, The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices, UIUC technical report, 2009

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  3. G.G. Magaril-Ilyaev, V.M. Tikhomirov, Convex Analysis: Theory and Applications (AMS, Providence, 2003)

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  4. J. Nocedal, S.J. Wright, Numerical Optimization, 2nd edn. (Springer, New York, 2006)

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Oreifej, O., Shah, M. (2014). Extended Derivations for Chapter 4. In: Robust Subspace Estimation Using Low-Rank Optimization. The International Series in Video Computing, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-04184-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-04184-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04183-4

  • Online ISBN: 978-3-319-04184-1

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