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cs.LG2020★ 2 cited
A Perturbation-Based Kernel Approximation Framework
Roy Mitz, Yoel Shkolnisky
Kernel methods are powerful tools in various data analysis tasks. Yet, in many cases, their time and space complexity render them impractical for large datasets. Various kernel app…
cs.LG2019
ROIPCA: An online memory-restricted PCA algorithm based on rank-one updates
Roy Mitz, Yoel Shkolnisky
Principal components analysis (PCA) is a fundamental algorithm in data analysis. Its memory-restricted online versions are useful in many modern applications, where the data are to…