Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.
Jicong FanLijun DingChengrun YangZhao ZhangMadeleine UdellPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- low rank
- robust principal component analysis
- high order
- matrix completion
- norm regularization
- convex optimization
- group lasso
- higher order
- missing data
- matrix factorization
- rank minimization
- low rank matrix
- linear combination
- low rank and sparse
- singular value decomposition
- kernel matrix
- dimensionality reduction
- high dimensional data
- semi supervised
- norm minimization
- singular values
- pairwise
- computer vision
- machine learning
- em algorithm
- low dimensional
- active learning