Tensor Recovery via Nonconvex Low-Rank Approximation.
Lin ChenXue JiangXingzhao LiuZhixin ZhouPublished in: EUSIPCO (2020)
Keyphrases
- low rank approximation
- low rank matrices
- frobenius norm
- low rank
- singular value decomposition
- low rank matrix approximation
- high order
- subspace learning
- convex optimization
- spectral clustering
- dimensionality reduction
- kernel matrix
- matrix completion
- reconstruction error
- higher order
- tensor decomposition
- diffusion tensor
- machine learning
- nonnegative matrix factorization
- adjacency matrix
- data dependent
- latent semantic indexing
- missing data
- iterative algorithms
- objective function
- pattern recognition
- pairwise
- clustering method
- linear combination
- support vector machine
- optical flow
- high dimensional