Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss.

Le Han Shujun Bi

Published in: J. Glob. Optim. (2018)

Keyphrases

low rank
convex relaxation
convex optimization
matrix completion
sparse representation
kernel matrix
matrix factorization
high dimensional
linear combination
total variation
reproducing kernel hilbert space
missing data
multi label
globally optimal
high order
singular value decomposition
image processing
machine learning
image representation
image classification
semi supervised
feature vectors
feature selection