Quantum Annealing for Robust Principal Component Analysis
Principal component analysis is commonly used for dimensionality reduction, feature extraction, denoising, and visualization. The most commonly used principal component analysis method is based upon optimization of the <inline-formula><tex-math notation="LaTeX">$L_{2}$</tex-math></inline-formula>-no...
Sparad:
| Huvudupphov: | , , |
|---|---|
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
IEEE
2026-01-01
|
| Serie: | IEEE Transactions on Quantum Engineering |
| Ämnen: | |
| Länkar: | https://ieeexplore.ieee.org/document/11373215/ |
| Taggar: |
Inga taggar, Lägg till första taggen!
|