Matrix Compression via Randomized Low Rank and Low Precision Factorization.
Rajarshi SahaVarun SrivastavaMert PilanciPublished in: CoRR (2023)
Keyphrases
- low rank
- matrix factorization
- factorization methods
- singular value decomposition
- missing entries
- linear combination
- low rank matrix
- convex optimization
- matrix decomposition
- missing data
- matrix completion
- rank minimization
- semi supervised
- data matrix
- nuclear norm
- non rigid structure from motion
- singular values
- kernel matrix
- high dimensional data
- high order
- image compression
- low rank and sparse
- frobenius norm
- trace norm
- affinity matrix
- kernel matrices
- low rank matrices
- robust principal component analysis
- minimization problems
- collaborative filtering
- pairwise
- image sequences
- feature selection