Inference for Low-rank Tensors - No Need to Debias.
Dong XiaAnru R. ZhangYuchen ZhouPublished in: CoRR (2020)
Keyphrases
- low rank
- high order
- missing data
- matrix completion
- convex optimization
- singular value decomposition
- linear combination
- matrix factorization
- low rank matrix
- kernel matrix
- semi supervised
- matrix decomposition
- rank minimization
- high dimensional data
- trace norm
- higher order
- low rank matrices
- data sets
- singular values
- inference process
- affinity matrix
- minimization problems
- non rigid structure from motion
- markov random field
- diffusion tensor
- collaborative filtering
- pairwise
- data mining
- tensor factorization
- small number
- image sequences