Low-Rank Tensor Estimation via Generalized Norm/Quasi-Norm Difference Regularization.
Yi CenYigang CenKe WangJincong LiShiming ChenLinna ZhangDan TaoPublished in: BigCom (2018)
Keyphrases
- trace norm
- low rank
- frobenius norm
- matrix completion
- multi task
- convex optimization
- missing data
- linear combination
- semi supervised
- matrix factorization
- low rank matrix
- high order
- singular value decomposition
- high dimensional data
- rank minimization
- norm minimization
- low rank matrices
- kernel matrix
- nuclear norm
- similarity measure
- machine learning
- group lasso
- convex functions