Caricamento...
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise
A fundamental step in many data-analysis techniques is the construction of an affinity matrix describing similarities between data points. When the data points reside in Euclidean space, a widespread approach is to from an affinity matrix by the Gaussian kernel with pairwise distances, and to follow...
Salvato in:
| Pubblicato in: | SIAM J Math Data Sci |
|---|---|
| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2021
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8194191/ https://ncbi.nlm.nih.gov/pubmed/34124607 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1137/20M1342124 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|