High Dimensional Low Rank plus Sparse Matrix Decomposition.
Mostafa RahmaniGeorge K. AtiaPublished in: CoRR (2015)
Keyphrases
- matrix decomposition
- low rank
- high dimensional
- high dimensional data
- low rank matrix
- rank minimization
- missing data
- singular value decomposition
- matrix factorization
- dimensionality reduction
- low dimensional
- linear combination
- convex optimization
- high dimensionality
- kernel matrix
- low rank approximation
- high order
- nonnegative matrix factorization
- sparse coding
- semi supervised
- nearest neighbor
- feature space
- data points
- gene expression data
- input space
- sparse representation
- original data
- collaborative filtering
- missing values
- singular values
- data analysis
- pattern recognition
- latent structure
- image processing
- eigendecomposition
- pairwise
- small number
- data sets
- higher order