DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors.
Vishwanath SaragadamRandall BalestrieroAshok VeeraraghavanRichard G. BaraniukPublished in: CoRR (2022)
Keyphrases
- low rank
- tensor decomposition
- data representation
- missing data
- matrix factorization
- linear combination
- convex optimization
- high order
- matrix completion
- high dimensional data
- auxiliary information
- low rank matrix
- semi supervised
- rank minimization
- singular value decomposition
- data matrix
- network structure
- visual data
- tensor factorization
- complex networks
- data sets
- small number
- pairwise