Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer.
Zhi-Yong WangHing Cheung SoAbdelhak M. ZoubirPublished in: CoRR (2023)
Keyphrases
- matrix completion
- low rank
- rank minimization
- norm minimization
- low rank matrix
- semi supervised
- convex optimization
- matrix factorization
- missing data
- group lasso
- linear combination
- singular value decomposition
- kernel matrix
- high dimensional data
- high order
- singular values
- collaborative filtering
- nuclear norm
- structured sparsity
- total variation
- variable selection
- supervised learning
- machine learning
- data sets
- dimensionality reduction
- higher order
- small number