An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations.
Wooseok HaHaoyang LiuRina Foygel BarberPublished in: SIAM J. Optim. (2020)
Keyphrases
- low rank
- critical points
- matrix factorization
- missing data
- convex optimization
- singular values
- nuclear norm
- linear combination
- singular value decomposition
- low rank approximation
- rank constraint
- low rank matrix
- rank minimization
- semi supervised
- matrix completion
- scale space
- vector field
- high dimensional data
- high order
- minimization problems
- data sets
- recommender systems
- kernel matrix
- constrained optimization
- nonnegative matrix factorization
- pattern recognition
- collaborative filtering
- image processing
- neural network
- markov random field