Low-Rank Tensor Completion by Approximating the Tensor Average Rank.
Zhanliang WangJunyu DongXinguo LiuXueying ZengPublished in: ICCV (2021)
Keyphrases
- low rank
- frobenius norm
- trace norm
- tensor decomposition
- high order
- convex optimization
- matrix completion
- missing data
- linear combination
- matrix factorization
- kullback leibler divergence
- reconstruction error
- low rank matrix
- low rank approximation
- kernel matrix
- singular value decomposition
- singular values
- data representation
- rank minimization
- low rank matrices
- higher order
- semi supervised
- minimization problems
- negative matrix factorization
- high dimensional data
- multi task
- nuclear norm
- auxiliary information
- matrix decomposition
- input data
- pattern recognition
- robust principal component analysis