Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction.
Wei ZhangZengwei XiaoHui TaoMinghui ZhangXiaoling XuQiegen LiuPublished in: CoRR (2022)
Keyphrases
- generative model
- low rank
- trace norm
- semi supervised
- high order
- tensor decomposition
- high resolution
- missing data
- linear combination
- probabilistic model
- matrix factorization
- matrix completion
- low rank matrix
- convex optimization
- em algorithm
- higher order
- singular value decomposition
- topic models
- image reconstruction
- pairwise
- latent dirichlet allocation
- active learning
- prior knowledge
- discriminative learning
- sparse coding
- high dimensional data
- semi supervised learning
- image processing
- computer vision
- reconstruction error
- data sets
- multi view
- image classification
- data representation
- dimensionality reduction
- nearest neighbor
- latent structure
- multiscale