Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion.
Shiqiang DuQingjiang XiaoYuqing ShiRita CucchiaraYide MaPublished in: Neurocomputing (2021)
Keyphrases
- low rank
- tensor factorization
- matrix factorization
- tensor decomposition
- nuclear norm
- singular value decomposition
- low rank matrix
- high order
- matrix completion
- collaborative filtering
- missing data
- low rank matrices
- linear combination
- rank minimization
- negative matrix factorization
- convex optimization
- minimization problems
- recommender systems
- data representation
- data matrix
- singular values
- nonnegative matrix factorization
- semi supervised
- high dimensional data
- dimensionality reduction
- pattern recognition
- auxiliary information
- probabilistic latent semantic analysis
- image processing
- least squares