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All published works
Action
Title
Year
Authors
+
FameSVD: Fast and Memory-efficient Singular Value Decomposition.
2019
Xiaocan Li
Shuo Wang
Yinghao Cai
+
Tutorial: Complexity analysis of Singular Value Decomposition and its variants
2019
Xiaocan Li
Shuo Wang
Yinghao Cai
Common Coauthors
Coauthor
Papers Together
Shuo Wang
2
Xiaocan Li
2
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
+
PDF
Chat
An Algorithm for the Principal Component Analysis of Large Data Sets
2011
Nathan Halko
PerâGunnar Martinsson
Yoel Shkolnisky
Mark Tygert
1
+
Fast Monte-Carlo algorithms for finding low-rank approximations
2002
Alan Frieze
Ramachandran Kannan
Santosh Vempala
1
+
PDF
Chat
On sparse representations of linear operators and the approximation of matrix products
2008
Mohamed-Ali Belabbas
Patrick J. Wolfe
1
+
PDF
Chat
Estimating the Largest Eigenvalue by the Power and Lanczos Algorithms with a Random Start
1992
J. KuczyĹski
H. WoĹşniakowski
1
+
PDF
Chat
Matrix Completion With Noise
2010
Emmanuel J. Candès
Yaniv Plan
1
+
PDF
Chat
Clustered NystrĂśm Method for Large Scale Manifold Learning and Dimension Reduction
2010
Kai Zhang
James T. Kwok
1
+
Robust principal component analysis by self-organizing rules based on statistical physics approach
1995
Lei Xu
Alan Yuille
1
+
PDF
Chat
A Singular Value Thresholding Algorithm for Matrix Completion
2010
JianâFeng Cai
Emmanuel J. Candès
Zuowei Shen
1
+
PDF
Chat
Exact matrix completion via convex optimization
2012
Emmanuel J. Candès
Benjamin Recht
1
+
PDF
Chat
The Power of Convex Relaxation: Near-Optimal Matrix Completion
2010
Emmanuel J. Candès
Terence Tao
1
+
Robust principal component analysis
2002
M. Partridge
M.A. Jabri
1
+
A Randomized Algorithm for the Approximation of Matrices
2006
PerâGunnar Martinsson
Vladimir Rockhlin
Mark Tygert
1