On Capacity Achieving of Sparse Regression Code with the Row-Orthogonal Matrix.
Yizhou XuTeng FuYuhao LiuTianqi HouPublished in: ICCT (2022)
Keyphrases
- sparse regression
- low rank
- data matrix
- feature selection and classification
- rows and columns
- sparse matrix
- binary matrix
- linear regression
- missing data
- singular value decomposition
- convex optimization
- linear combination
- semi supervised
- high dimensional data
- matrix completion
- matrix factorization
- high order
- singular values
- least squares
- data analysis
- pairwise
- image restoration
- similarity matrix
- data sets
- total variation
- missing values