Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization.
Kaifei ZhangDi WangXiaoqin ZhangNannan GuHongxing JiangXiuzi YePublished in: ACCV Workshops (1) (2016)
Keyphrases
- norm minimization
- trace norm
- low rank
- convex optimization
- matrix completion
- frobenius norm
- high order
- tensor decomposition
- minimization problems
- sparse representation
- regularization term
- interior point methods
- singular value decomposition
- linear combination
- unsupervised feature selection
- matrix factorization
- rank minimization
- missing data
- low rank matrix
- matrix decomposition
- sparse coding
- high dimensional data
- semi supervised
- low rank matrices
- primal dual
- objective function
- data matrix
- convex relaxation
- image processing
- singular values
- feature space