Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch.
Osman Asif MalikStephen BeckerPublished in: NeurIPS (2018)
Keyphrases
- low rank
- tensor decomposition
- high order
- tensor factorization
- matrix factorization
- linear combination
- low rank matrix
- missing data
- singular value decomposition
- matrix completion
- higher order
- rank minimization
- matrix decomposition
- kernel matrix
- semi supervised
- convex optimization
- high dimensional data
- auxiliary information
- collaborative filtering
- robust principal component analysis
- low rank matrices
- negative matrix factorization
- minimization problems
- recommender systems
- factorization method
- diffusion tensor
- trace norm
- data sets
- data representation
- non rigid structure from motion
- machine learning