Robust low-rank tensor modelling using Tucker and CP decomposition.
Niannan XueGeorgios PapamakariosMehdi BahriYannis PanagakisStefanos ZafeiriouPublished in: EUSIPCO (2017)
Keyphrases
- tensor decomposition
- low rank
- low rank matrix
- rank minimization
- high order
- data representation
- low rank subspace
- low rank representation
- auxiliary information
- robust principal component analysis
- convex optimization
- linear combination
- missing data
- matrix factorization
- singular value decomposition
- matrix completion
- tensor factorization
- trace norm
- semi supervised
- kernel matrix
- high dimensional data
- frobenius norm
- higher order
- matrix decomposition
- singular values
- minimization problems
- data matrix
- data sets
- low rank matrices
- denoising
- recommender systems