Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
Jed A. DuerschMing GuPublished in: CoRR (2020)
Keyphrases
- low rank approximation
- matrix factorization
- low rank
- nonnegative matrix factorization
- collaborative filtering
- kernel matrix
- recommender systems
- missing data
- negative matrix factorization
- matrix completion
- singular value decomposition
- data matrix
- subspace learning
- singular values
- data representation
- latent semantic indexing
- convex optimization
- low dimensional
- least squares