Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise

Boris Landa, Ronald R. Coifman, Yuval Kluger

Open source

DOI: 10.1137/20m1342124
Published: 2021-01
Container: SIAM Journal on Mathematics of Data Science
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1137/20m1342124,
  title = {Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise},
  author = {Boris Landa and Ronald R. Coifman and Yuval Kluger},
  year = {2021},
  journal = {SIAM Journal on Mathematics of Data Science},
  doi = {10.1137/20m1342124},
  url = {https://doi.org/10.1137/20m1342124}
}

RIS

TY  - JOUR
TI  - Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise
AU  - Boris Landa
AU  - Ronald R. Coifman
AU  - Yuval Kluger
PY  - 2021
JO  - SIAM Journal on Mathematics of Data Science
DO  - 10.1137/20m1342124
UR  - https://doi.org/10.1137/20m1342124
ER  -

APA

Landa, B., Coifman, R. R., & Kluger, Y. (2021). Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. SIAM Journal on Mathematics of Data Science. https://doi.org/10.1137/20m1342124

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crossref · retrieved 2026-09-25T08:59:08.558Z