Neurodynamic Approaches with Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework.

Zhang M, He X, Zhao Y, Huang T, Yu J

Open source

DOI
10.1109/tpami.2026.3717777
Published
2026 Jul 28
Container
IEEE transactions on pattern analysis and machine intelligence
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1109/tpami.2026.3717777,
  title = {Neurodynamic Approaches with Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework.},
  author = {Zhang M and He X and Zhao Y and Huang T and Yu J},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3717777},
  url = {https://doi.org/10.1109/tpami.2026.3717777}
}

RIS

TY  - JOUR
TI  - Neurodynamic Approaches with Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework.
AU  - Zhang M
AU  - He X
AU  - Zhao Y
AU  - Huang T
AU  - Yu J
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3717777
UR  - https://doi.org/10.1109/tpami.2026.3717777
ER  - 

APA

M, Z., X, H., Y, Z., T, H., & J, Y. (2026). Neurodynamic Approaches with Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3717777

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