Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering.
Yongyong ChenShuqin WangXiaolin XiaoYoufa LiuZhongyun HuaYicong ZhouPublished in: IEEE Trans. Multim. (2022)
Keyphrases
- multi view
- low rank
- subspace clustering
- high dimensional data
- trace norm
- dimensionality reduction
- semi supervised
- high order
- high dimensional
- multiple views
- high dimensionality
- nearest neighbor
- three dimensional
- d objects
- low dimensional
- matrix factorization
- data sets
- clustering algorithm
- linear combination
- convex optimization
- data analysis
- data points
- linear discriminant analysis
- higher order
- sparse representation
- singular value decomposition
- input data
- image processing
- kernel function
- missing data
- bundle adjustment
- subspace learning
- clustering method
- supervised learning
- feature extraction
- unsupervised learning
- decision trees
- active learning
- multi task
- pairwise
- feature selection
- training data
- linear subspace