CPD Updating Using Low-Rank Weights.
Michiel VandecappelleMartijn BousseNico VervlietLieven De LathauwerPublished in: ICASSP (2018)
Keyphrases
- low rank
- linear combination
- matrix completion
- missing data
- low rank matrix
- convex optimization
- matrix factorization
- singular value decomposition
- kernel matrix
- rank minimization
- high dimensional data
- high order
- semi supervised
- low rank matrices
- matrix decomposition
- robust principal component analysis
- singular values
- data matrix
- low rank approximation
- weight vector
- trace norm
- small number
- low rank representation
- pairwise comparison
- missing values
- active learning
- non rigid structure from motion
- decision trees
- data sets