Decomposition of Low Rank Multi-symmetric Tensor.
Jouhayna HarmouchBernard MourrainHoussam KhalilPublished in: MACIS (2017)
Keyphrases
- low rank
- tensor decomposition
- trace norm
- high order
- frobenius norm
- convex optimization
- linear combination
- missing data
- matrix factorization
- semi supervised
- data representation
- low rank matrix
- rank minimization
- singular value decomposition
- auxiliary information
- matrix completion
- kernel matrix
- matrix decomposition
- high dimensional data
- low rank matrices
- tensor factorization
- data matrix
- robust principal component analysis
- higher order
- low rank approximation
- regularized regression
- binary matrix
- positive definite
- dimensionality reduction