Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks.
Jingfei HeXunan ZhengPeng GaoYatong ZhouPublished in: Signal Process. (2022)
Keyphrases
- low rank
- frobenius norm
- trace norm
- tensor decomposition
- high order
- matrix completion
- missing data
- convex optimization
- matrix factorization
- reconstruction error
- linear combination
- kullback leibler divergence
- low rank matrix
- high dimensional data
- matrix decomposition
- higher order
- singular value decomposition
- kernel matrix
- low rank matrices
- nuclear norm
- rank minimization
- singular values
- negative matrix factorization
- tensor factorization
- multi task
- semi supervised
- low rank approximation
- minimization problems
- robust principal component analysis
- auxiliary information
- optical flow
- norm minimization
- principal component analysis
- non rigid structure from motion
- least squares
- machine learning
- data sets