Robust Multiple Kernel Subspace Clustering Based on Low Rank Consensus Kernel Learning.
Qin LiangXiaoqian ZhangLiang LuoPublished in: EITCE (2020)
Keyphrases
- kernel learning
- low rank
- kernel matrix
- multiple kernel
- low rank matrix
- linear combination
- high dimensional data
- kernel matrices
- semi supervised
- multiple kernel learning
- semidefinite programming
- missing data
- dimensionality reduction
- convex optimization
- singular value decomposition
- kernel methods
- matrix factorization
- feature space
- kernel function
- high dimensional
- pairwise constraints
- model selection
- small number
- nearest neighbor
- high order
- support vector machine
- image classification
- data representation
- input space
- input data
- ls svm
- metric learning
- text classification
- support vector