no code implementations • 10 Oct 2023 • Kyle Gilman, David Hong, Jeffrey A. Fessler, Laura Balzano
Streaming principal component analysis (PCA) is an integral tool in large-scale machine learning for rapidly estimating low-dimensional subspaces of very high dimensional and high arrival-rate data with missing entries and corrupting noise.
1 code implementation • 30 Jan 2020 • Kyle Gilman, Davoud Ataee Tarzanagh, Laura Balzano
We propose a new fast streaming algorithm for the tensor completion problem of imputing missing entries of a low-tubal-rank tensor using the tensor singular value decomposition (t-SVD) algebraic framework.