Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation.
Wenjin QinHailin WangWeijun MaJianjun WangPublished in: ICASSP (2022)
Keyphrases
- high order
- higher order
- low rank
- low rank approximation
- low rank matrices
- tensor analysis
- pairwise
- markov random field
- singular value decomposition
- low rank matrix approximation
- tensor decomposition
- subspace learning
- partial differential equations
- convex optimization
- machine learning
- kernel matrix
- linear combination
- natural images
- image classification
- dimensionality reduction
- training set
- objective function