R-Local Unlabeled Sensing: A Novel Graph Matching Approach for Multiview Unlabeled Sensing Under Local Permutations

Ahmed Abbasi, Abiy Tasissa, Shuchin Aeron

Open source

DOI: 10.1109/ojsp.2021.3083479
Published: 2021
Container: IEEE Open Journal of Signal Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/ojsp.2021.3083479,
  title = {R-Local Unlabeled Sensing: A Novel Graph Matching Approach for Multiview Unlabeled Sensing Under Local Permutations},
  author = {Ahmed Abbasi and Abiy Tasissa and Shuchin Aeron},
  year = {2021},
  journal = {IEEE Open Journal of Signal Processing},
  doi = {10.1109/ojsp.2021.3083479},
  url = {https://doi.org/10.1109/ojsp.2021.3083479}
}

RIS

TY  - JOUR
TI  - R-Local Unlabeled Sensing: A Novel Graph Matching Approach for Multiview Unlabeled Sensing Under Local Permutations
AU  - Ahmed Abbasi
AU  - Abiy Tasissa
AU  - Shuchin Aeron
PY  - 2021
JO  - IEEE Open Journal of Signal Processing
DO  - 10.1109/ojsp.2021.3083479
UR  - https://doi.org/10.1109/ojsp.2021.3083479
ER  -

APA

Abbasi, A., Tasissa, A., & Aeron, S. (2021). R-Local Unlabeled Sensing: A Novel Graph Matching Approach for Multiview Unlabeled Sensing Under Local Permutations. IEEE Open Journal of Signal Processing. https://doi.org/10.1109/ojsp.2021.3083479

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crossref · retrieved 2026-09-25T15:12:59.767Z