Structured Low-Rank Approximation with Missing Data.
Ivan MarkovskyKonstantin UsevichPublished in: SIAM J. Matrix Anal. Appl. (2013)
Keyphrases
- missing data
- low rank approximation
- low rank
- kernel matrix
- missing values
- matrix factorization
- singular value decomposition
- low rank matrix
- matrix completion
- incomplete data
- iterative algorithms
- spectral clustering
- latent semantic indexing
- subspace learning
- data matrix
- missing entries
- high dimensional
- eigendecomposition
- generative model
- dimensionality reduction