Matrix Sketching
Matrix sketching is a dimensionality reduction technique that, as a member of the class of randomized approximation methods for large-scale linear algebra, computes a compact representation of a matrix by applying random projections or sampling to preserve key spectral properties with sublinear space and time complexity.
60
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2.8K
Citations
138
Authors
74
Institutions
Publications per year
2017–2026
24
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Numerical linear algebra in the streaming model
Kenneth L. Clarkson, David P. Woodruff · 2009 · 327 citations
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
Michael B. Cohen, Sam Elder, Cameron Musco et al. · 2015 · 291 citations
Simple and deterministic matrix sketching
Edo Liberty · 2013 · 273 citations
Frequent Directions: Simple and Deterministic Matrix Sketching
Mina Ghashami, Edo Liberty, Jeff M. Phillips et al. · SIAM Journal on Computing · 2016 · 144 citations
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IBM Research - Almaden
San Jose, United States
8 h-index
14 publications
1.4K citations
University of Utah
Salt Lake City, United States
5 h-index
11 publications
661 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
13 publications
1.6K citations
University of Wisconsin–Madison
Madison, United States
4 h-index
10 publications
321 citations
Princeton University
Princeton, United States
3 h-index
4 publications
151 citations
University of Michigan
Ann Arbor, United States
3 h-index
6 publications
226 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
98 citations
Yahoo (United States)
Sunnyvale, United States
3 h-index
4 publications
110 citations
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Repository · 14 publications · 382 citations
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3 publications · 183 citations
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Repository · 1 publications · 22 citations
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