Robust Decentralized Low-Rank Matrix Decomposition.
István HegedüsÁrpád BertaLevente KocsisAndrás A. BenczúrMárk JelasityPublished in: ACM Trans. Intell. Syst. Technol. (2016)
Keyphrases
- low rank
- matrix decomposition
- low rank matrix
- rank minimization
- convex optimization
- matrix factorization
- linear combination
- singular value decomposition
- missing data
- nonnegative matrix factorization
- high order
- kernel matrix
- high dimensional data
- semi supervised
- singular values
- data matrix
- higher order
- eigendecomposition
- low rank approximation
- high dimensional
- negative matrix factorization
- missing values
- collaborative filtering