2 papers
cs.LG2021
Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices
Maboud F. Kaloorazi, Jie Chen
Matrices with low numerical rank are omnipresent in many signal processing and data analysis applications. The pivoted QLP (p-QLP) algorithm constructs a highly accurate approximat…
cs.DS2019
Study of Compressed Randomized UTV Decompositions for Low-Rank Matrix Approximations in Data Science
M. Kaloorazi, R. C. de Lamare
In this work, a novel rank-revealing matrix decomposition algorithm termed Compressed Randomized UTV (CoR-UTV) decomposition along with a CoR-UTV variant aided by the power method…