Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.
Jipeng GuoYanfeng SunJunbin GaoYongli HuBaocai YinPublished in: ICPR (2020)
Keyphrases
- multi view
- subspace clustering
- affinity matrix
- high dimensional data
- linear subspace
- multiple views
- clustering method
- clustering algorithm
- depth map
- three dimensional
- d objects
- high dimensional
- low rank
- semi supervised
- co training
- spectral clustering
- dimensionality reduction
- range images
- matrix factorization
- training data