Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems.

Daniel Kressner Michael Steinlechner André Uschmajew

Published in: SIAM J. Sci. Comput. (2014)

Keyphrases

low rank
high dimensional data
missing data
matrix completion
regularized regression
pattern recognition
low rank representation
rank minimization
trace norm
tensor decomposition
high order
higher order
low rank approximation
linear regression
matrix decomposition
cross validation
dimensionality reduction