The quantum low-rank approximation problem.
Nic EzzellZoë HolmesPatrick J. ColesPublished in: CoRR (2022)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- spectral clustering
- kernel matrix
- iterative algorithms
- reconstruction error
- data dependent
- adjacency matrix
- latent semantic indexing
- nonnegative matrix factorization
- dimensionality reduction
- information retrieval
- missing data
- subband
- machine learning
- clustering method
- least squares
- small number
- matrix completion