HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging.
Yi-Si LuoXile ZhaoDeyu MengTai-Xiang JiangPublished in: CVPR (2022)
Keyphrases
- low rank
- inverse problems
- convex optimization
- tensor factorization
- matrix factorization
- tensor decomposition
- collaborative filtering
- singular value decomposition
- image reconstruction
- negative matrix factorization
- missing data
- nonnegative matrix factorization
- image processing
- factorization method
- tag recommendation
- optimization methods
- recommender systems
- high resolution
- total variation
- partial differential equations
- semi supervised
- computer vision
- high order
- input image
- pairwise
- clustering algorithm