Tensor Regression Networks with various Low-Rank Tensor Approximations.
Xingwei CaoGuillaume RabusseauJoelle PineauPublished in: CoRR (2017)
Keyphrases
- low rank
- trace norm
- tensor decomposition
- high order
- frobenius norm
- convex optimization
- linear combination
- matrix factorization
- singular value decomposition
- matrix completion
- low rank matrix
- higher order
- kernel matrix
- missing data
- matrix decomposition
- semi supervised
- tensor factorization
- regression model
- data representation
- rank minimization
- neural network
- low rank matrices
- auxiliary information
- multi task
- high dimensional data
- minimization problems
- model selection
- high dimensional
- support vector
- feature extraction