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Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization.
Yudong Chen
Yuejie Chi
Published in:
IEEE Signal Process. Mag. (2018)
Keyphrases
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big data
optimization problems
convex optimization
quadratic optimization problems
data processing
low rank matrix
massive datasets
objective function
cloud computing
minimization problems
nuclear norm
database
business intelligence
singular value decomposition
total variation
low rank