Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes.
Shashanka UbaruArya MazumdarYousef SaadPublished in: IEEE Trans. Inf. Theory (2017)
Keyphrases
- low rank approximation
- error correcting codes
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- error correcting
- error correction
- kernel matrix
- spectral clustering
- adjacency matrix
- latent semantic indexing
- reconstruction error
- iterative algorithms
- nonnegative matrix factorization
- matrix completion
- least squares
- missing data
- image quality
- machine learning
- linear combination
- minimum distance
- dimensionality reduction
- similarity measure
- feature extraction