Low-Rank Tensor Constrained Multiview Subspace Clustering.
Changqing ZhangHuazhu FuSi LiuGuangcan LiuXiaochun CaoPublished in: ICCV (2015)
Keyphrases
- subspace clustering
- low rank
- high dimensional data
- trace norm
- frobenius norm
- dimensionality reduction
- tensor decomposition
- high order
- affinity matrix
- matrix completion
- low rank matrix
- low dimensional
- high dimensional
- subspace clusters
- nearest neighbor
- data sets
- clustering method
- matrix factorization
- high dimensionality
- data analysis
- rank minimization
- convex optimization
- higher order
- clustering algorithm
- original data
- data points
- linear combination
- missing data
- singular value decomposition
- sparse representation
- linear subspace
- semi supervised
- neural network
- tensor factorization
- feature space
- image processing
- data representation
- subspace learning
- singular values
- knn
- image data
- pairwise
- feature selection