Fast randomized tensor singular value thresholding for low-rank tensor optimization.
Maolin CheXuezhong WangYiming WeiXile ZhaoPublished in: Numer. Linear Algebra Appl. (2022)
Keyphrases
- low rank
- singular values
- trace norm
- high order
- tensor decomposition
- frobenius norm
- singular value decomposition
- singular vectors
- matrix completion
- matrix decomposition
- convex optimization
- missing data
- matrix factorization
- linear combination
- data matrix
- higher order
- low rank matrix
- rank minimization
- kernel matrix
- high dimensional data
- semi supervised
- tensor factorization
- norm minimization
- dimensionality reduction
- principal component analysis
- pairwise
- collaborative filtering
- convex relaxation
- least squares
- data sets
- feature selection
- data mining