Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery.
Tianheng ZhangJianli ZhaoQiuxia SunBin ZhangJianjian ChenMaoguo GongPublished in: Appl. Intell. (2022)
Keyphrases
- tensor decomposition
- low rank
- image recovery
- trace norm
- high order
- data representation
- matrix factorization
- tensor factorization
- compressive sensing
- singular value decomposition
- auxiliary information
- linear combination
- convex optimization
- matrix completion
- missing data
- semi supervised
- high dimensional data
- higher order
- rank minimization
- low rank matrix
- nonnegative matrix factorization
- singular values
- convex sets
- data analysis
- face recognition