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We consider the k-disjoint-clique problem.
Probability inequalities for sums of bounded random variables
W. Hoeffding · 1962
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Computers and Intractability: A Guide to the Theory of NP-Completeness
M. R. Garey and D. S. Johnson · 1979
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A limit theorem for the norm of random matrices
S. Geman · 1980
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The eigenvalues of random symmetric matrices
Z. Füredi and J. Komlós · 1981
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Matrix Computations
G. Golub and C. Van Loan · 1996
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Finding a large hidden clique in a random graph
N. Alon, M. Krivelevich, and B. Sudakov · 1998
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Finding and certifying a large hidden clique in a semirandom raph
U. Feige and R. Krauthgamer · 2000
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Convex optimization
S. Boyd and L. Vandenberghe · 2004
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Probability and computing
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A survey of clustering data mining techniques
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Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
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A newton-cg augmented lagrangian method for semidefinite programming
X.Y. Zhao, D. Sun, and K.C. Toh · 2010
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Nuclear norm minimization for the planted clique and biclique problems
B. Ames and S. Vavasis · 2011
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Robust principal component analysis?
E.J. Candès, X. Li, Y. Ma, and J. Wright · 2011
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Rank-sparsity incoherence for matrix decomposition
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Clustering partially observed graphs via convex optimization
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Finding dense clusters via “low rank + sparse” decomposition
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S. Oymak and B. Hassibi · 2011
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