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Maximizing the smallest eigenvalue of a symmetric matrix: A submodular optimization approach.
Andrew Clark
Qiqiang Hou
Linda Bushnell
Radha Poovendran
Published in:
Autom. (2018)
Keyphrases
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symmetric matrix
semidefinite
covariance matrix
semidefinite programming
eigenvalue decomposition
least squares
blind source separation
projection matrix
linear programming
high order
canonical form
principal component analysis
optimization method
kernel methods