Iterative tensor eigen rank minimization for low-rank tensor completion.
Liyu SuJing LiuXiaoqing TianKaiyu HuangShuncheng TanPublished in: Inf. Sci. (2022)
Keyphrases
- low rank
- rank minimization
- high order
- trace norm
- tensor decomposition
- matrix factorization
- matrix completion
- linear combination
- singular value decomposition
- missing data
- semi supervised
- convex optimization
- low rank matrix
- higher order
- kernel matrix
- tensor factorization
- high dimensional data
- dimensionality reduction
- robust principal component analysis
- eigendecomposition
- pairwise
- affinity matrix
- data matrix
- singular values
- rank constraint