A parallel sparse regularization method for structured multilinear low-rank tensor decomposition.
Gerta KusheYang YangChristian SteffensMarius PesaventoPublished in: EUSIPCO (2019)
Keyphrases
- tensor decomposition
- low rank
- regularization method
- image restoration
- missing data
- high order
- matrix factorization
- linear combination
- low rank matrix
- convex optimization
- data representation
- singular value decomposition
- matrix completion
- regularization parameter
- rank minimization
- auxiliary information
- high dimensional data
- semi supervised
- partial differential equations
- denoising
- tensor factorization
- total variation
- machine learning
- missing values
- data analysis
- pattern recognition