Neurodynamic Approaches With Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework
- DOI
- 10.1109/tpami.2026.3717777
- Published
- 2026-11
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3717777,
title = {Neurodynamic Approaches With Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework},
author = {Meng Zhang and Xing He and You Zhao and Tingwen Huang and Junzhi Yu},
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 - Meng Zhang AU - Xing He AU - You Zhao AU - Tingwen Huang AU - Junzhi Yu 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
Zhang, M., He, X., Zhao, Y., Huang, T., & Yu, J. (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
Source records
- crossref · retrieved 2026-11-10T11:02:48.188Z