Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization.
Yongyong ChenShuqin WangYicong ZhouPublished in: IEEE J. Sel. Top. Signal Process. (2018)
Keyphrases
- low rank approximation
- low rank
- high order
- low rank matrix
- matrix completion
- singular value decomposition
- total variation
- convex optimization
- missing data
- kernel matrix
- higher order
- singular values
- image denoising
- matrix factorization
- linear combination
- semi supervised
- dimensionality reduction
- denoising
- high dimensional data
- image restoration
- optical flow
- computer vision
- regularization parameter
- spectral clustering
- positive definite
- data sets
- diffusion tensor
- subspace learning
- feature selection
- image segmentation
- natural images
- data points