On optimal low rank Tucker approximation for tensors: the case for an adjustable core size.
Bilian ChenZhening LiShuzhong ZhangPublished in: J. Glob. Optim. (2015)
Keyphrases
- low rank
- high order
- matrix factorization
- matrix decomposition
- matrix completion
- linear combination
- low rank matrix
- convex optimization
- tensor decomposition
- closed form
- rank minimization
- missing data
- semi supervised
- tensor factorization
- singular value decomposition
- low rank approximation
- optimal solution
- high dimensional data
- data matrix
- minimization problems
- image processing
- kernel matrix
- higher order
- pairwise
- image sequences
- learning process
- data analysis
- pattern recognition
- data mining
- non rigid structure from motion
- low rank matrices