4. Applications

In this section, we describe some applications of the approximate decompositions defined in Section 3. The first area of application we mentioned in Example 18 and paragraph 3.2 is not specific to tensors, since it concerns data denoising. In practice, we recommend denoising tensor data using truncated MLSVD as a pre-processing step. The applications we will now discuss are no exception, and prior denoising is usually necessary, if...

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Bibliographical sources

(1) - HACKBUSCH (W.) - Tensor Spaces and Numerical Tensor Calculus . - Series in Computational Mathematics. Berlin, Heidelberg: Springer (2012). ISBN: 978-3-642-28026-9.
(2) - RUIZ-TOLOSA (J.R., CASTILLO (E.) - From Vectors to Tensors ...

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H. BECKER et al - Brain source IMaging Algorithms (BIMA). Distributed brain source localization software, IDDN. FR.001.200011.000. S.P.2016.000.31230. May 2016.

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