Robust low-rank optimization for large scale problems.

Licheng Zhao Prabhu Babu Daniel Pérez Palomar

Published in: ACSSC (2015)

Keyphrases

low rank
matrix completion
rank minimization
low rank matrix
norm minimization
optimization problems
matrix factorization

low rank representation
semi supervised
linear combination
convex optimization
minimization problems
quadratic programming
robust principal component analysis

low rank matrices
nuclear norm
high order
high dimensional data
convex optimization problems
convex relaxation

data sets
trace norm
missing data
feature space
objective function
image processing