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Fast Monte-carlo low rank approximations for matrices
Shmuel Friedland
, Amir Niknejad
,
Mostafa Kaveh
, Hossein Zare
Administration (CSENG)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
13
Scopus citations
Overview
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Dive into the research topics of 'Fast Monte-carlo low rank approximations for matrices'. Together they form a unique fingerprint.
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Keyphrases
Approximate Data
50%
Best Approximation
50%
Data Storage
50%
Fast Monte Carlo
100%
Low-rank Approximation
100%
Mining Data
50%
Monte Carlo Algorithm
50%
Rank-one Approximation
100%
Singular Value Decomposition
50%
Mathematics
Approximates
25%
Best Approximation
25%
Data Mining
25%
Low-Rank Approximation
100%
Matrix
100%
Monte Carlo
100%
Monte Carlo Algorithm
25%
Singular Value Decomposition
25%
Computer Science
Approximation (Algorithm)
33%
Data Mining
33%
Information Storage
33%
Rank Approximation
100%
Singular Value
33%