Single Pass Entrywise-Transformed Low Rank Approximation
Yifei Jiang 1 Yi Li 2 Yiming Sun 2 Jiaxin Wang 3 David P. Woodruff 4
Abstract 1. Introduction
In applications such as natural language process- There are numerous applications with matrices that are too
ing or computer vision, one is given a large n × d large to fit in main memory, such as matrices arising in ma-
matrix A = (ai,j ) and would like to compute a chine learning, im ...


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