Login / Signup
A Convex Approach to Low Rank Matrix Approximation with Missing Data.
Carl Olsson
Magnus Oskarsson
Published in:
SCIA (2009)
Keyphrases
</>
missing data
low rank matrix approximation
matrix completion
low rank
low rank approximation
incomplete data
convex optimization
missing values
matrix factorization
convex relaxation
norm minimization
rank minimization
kernel matrix
singular value decomposition
globally optimal
singular values
linear programming
low rank matrix
data matrix
feature extraction
principal component analysis
small number