"Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep ..."

Tatsuya Yokota et al. (2022)

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DOI: 10.1109/TNNLS.2020.3037923

access: open

type: Journal Article

metadata version: 2023-07-27

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Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1022-1036 (2022)

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