Smooth low-rank representation with a Grassmann manifold for tensor completion.
Liyu SuJing LiuJianting ZhangXiaoqing TianHailang ZhangChaoqun MaPublished in: Knowl. Based Syst. (2023)
Keyphrases
- grassmann manifold
- low rank representation
- linear subspace
- stochastic gradient
- low rank
- subspace learning
- image set
- high order
- low dimensional
- dimensionality reduction
- higher order
- missing data
- spherical harmonics
- linear combination
- computer vision
- convex optimization
- principal component analysis
- semi supervised
- data analysis
- feature extraction