Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization.
Shicheng YuJiaqing MiaoGuibing LiWeidong JinGaoping LiXiaoguang LiuPublished in: Remote. Sens. (2023)
Keyphrases
- trace norm
- low rank
- frobenius norm
- rank minimization
- high order
- convex optimization
- matrix factorization
- nuclear norm
- minimization problems
- matrix completion
- missing data
- kernel matrix
- singular value decomposition
- multi task
- linear combination
- kernel matrices
- low rank approximation
- group sparsity
- singular values
- semi supervised
- tensor decomposition
- low rank matrix
- matrix decomposition
- high dimensional data
- piecewise constant
- higher order
- rank constraint
- data matrix
- reproducing kernel hilbert space
- norm minimization
- negative matrix factorization
- reconstruction error
- total variation
- kullback leibler divergence
- regularization term
- denoising
- optical flow