Robust low-rank tensor reconstruction using high-order t-SVD.
Wenjin QinHailin WangFeng ZhangMingwei DaiJianjun WangPublished in: J. Electronic Imaging (2021)
Keyphrases
- high order
- low rank
- low rank matrix
- rank minimization
- low rank representation
- higher order
- robust principal component analysis
- matrix decomposition
- singular values
- data matrix
- matrix completion
- non rigid structure from motion
- singular value decomposition
- tensor analysis
- low rank approximation
- kernel matrix
- trace norm
- image reconstruction
- pairwise
- tensor decomposition
- frobenius norm
- partial differential equations
- missing data
- linear combination
- markov random field
- reconstruction error
- compressive sensing
- data sets
- matrix factorization
- denoising
- high resolution
- image processing
- computer vision