Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

Xiuyuan Cheng, Boris Landa

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DOI: 10.1093/imaiai/iaae026
Published: 2024-09-20
Container: Information and Inference: A Journal of the IMA
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/imaiai/iaae026,
  title = {Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise},
  author = {Xiuyuan Cheng and Boris Landa},
  year = {2024},
  journal = {Information and Inference: A Journal of the IMA},
  doi = {10.1093/imaiai/iaae026},
  url = {https://doi.org/10.1093/imaiai/iaae026}
}

RIS

TY  - JOUR
TI  - Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
AU  - Xiuyuan Cheng
AU  - Boris Landa
PY  - 2024
JO  - Information and Inference: A Journal of the IMA
DO  - 10.1093/imaiai/iaae026
UR  - https://doi.org/10.1093/imaiai/iaae026
ER  -

APA

Cheng, X., & Landa, B. (2024). Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise. Information and Inference: A Journal of the IMA. https://doi.org/10.1093/imaiai/iaae026

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crossref · retrieved 2026-11-10T20:19:13.230Z