Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
Jed A. DuerschMing GuPublished in: SIAM Rev. (2020)
Keyphrases
- low rank approximation
- matrix factorization
- low rank
- nonnegative matrix factorization
- collaborative filtering
- kernel matrix
- missing data
- recommender systems
- singular value decomposition
- negative matrix factorization
- data matrix
- singular values
- matrix completion
- subspace learning
- spectral clustering
- stochastic gradient descent
- linear combination