An iterative algorithm for low-rank tensor completion problem with sparse noise and missing values.
Jianheng ChenWen HuangPublished in: Numer. Linear Algebra Appl. (2024)
Keyphrases
- missing data
- low rank
- missing values
- matrix completion
- incomplete data
- low rank matrices
- low rank matrix
- learning algorithm
- trace norm
- input data
- singular values
- regularized regression
- tensor decomposition
- high dimensional data
- k means
- similarity measure
- convex optimization
- data matrix
- low rank approximation
- expectation maximization
- higher order
- missing entries
- data analysis