Randomized approximate class-specific kernel spectral regression analysis for large-scale face verification

DOI10.1007/s10994-022-06140-9OpenAlexW4293100120MaRDI QIDQ2163243

Ke Li, Gang Wu

Publication date: 10 August 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-022-06140-9

zbMATH Keywords

Nyström methodface verificationkernel matrixblock Kaczmarz methodapproximate class-specific kernel spectral regression (ACS-KSR)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning

Uses Software

• CMU PIE
• CIFAR

Cites Work

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