Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses.
Wenqiang PuShahana IbrahimXiao FuMingyi HongPublished in: CoRR (2021)
Keyphrases
- tensor decomposition
- low rank
- convex optimization
- low rank matrix
- missing data
- matrix factorization
- linear combination
- singular value decomposition
- high order
- matrix completion
- rank minimization
- auxiliary information
- high dimensional data
- data representation
- semi supervised
- machine learning
- visual data
- singular values
- euclidean distance
- tensor factorization
- dimensionality reduction
- feature extraction
- data sets