A low-rank and sparse enhanced Tucker decomposition approach for tensor completion.
Chenjian PanChen LingHongjin HeLiqun QiYanwei XuPublished in: Appl. Math. Comput. (2024)
Keyphrases
- tensor decomposition
- low rank
- low rank and sparse
- data representation
- auxiliary information
- high order
- convex optimization
- tensor factorization
- low rank matrix
- missing data
- matrix factorization
- high dimensional data
- singular value decomposition
- linear combination
- signal recovery
- face recognition
- semi supervised
- generative model
- dimensionality reduction