Low-Rank Spectral Optimization via Gauge Duality.
Michael P. FriedlanderIves MacêdoPublished in: SIAM J. Sci. Comput. (2016)
Keyphrases
- low rank
- missing data
- matrix factorization
- linear combination
- nuclear norm
- matrix completion
- convex optimization
- low rank matrix
- singular value decomposition
- matrix decomposition
- rank minimization
- trace norm
- high dimensional data
- kernel matrix
- high order
- semi supervised
- minimization problems
- singular values
- affinity matrix
- robust principal component analysis
- linear programming
- low rank matrices
- convex programming
- negative matrix factorization
- optimization methods
- least squares
- input image
- active learning
- face recognition
- machine learning