Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering.
Shuqin WangYongyong ChenYigang CenLinna ZhangHengyou WangViacheslav V. VoroninPublished in: Appl. Intell. (2022)
Keyphrases
- multi view
- subspace clustering
- low rank and sparse
- low rank
- high dimensional data
- convex optimization
- signal recovery
- clustering method
- d objects
- multiple views
- depth map
- clustering algorithm
- high dimensional
- semi supervised
- hierarchical bayesian model
- three dimensional
- dimensionality reduction
- high dimensionality
- data sets
- nearest neighbor
- low dimensional
- singular value decomposition
- viewpoint
- transfer learning
- image data
- high order
- matrix factorization
- pairwise
- training data
- feature vectors