Graph-Laplacian Correlated Low-Rank Representation for Subspace Clustering.
Tuo WangHuayue CaiXiang ZhangLong LanXuhui HuangZhigang LuPublished in: ICIP (2018)
Keyphrases
- affinity matrix
- graph laplacian
- subspace clustering
- spectral clustering
- clustering method
- random walk
- high dimensional data
- clustering algorithm
- spectral analysis
- euclidean space
- weighted graph
- basis functions
- pointwise
- kernel machines
- high dimensional
- semi supervised learning
- manifold structure
- labeled and unlabeled data
- low dimensional
- neighborhood graph
- linear subspace
- computer vision
- image segmentation
- data sets
- label information
- linear combination
- training data
- pairwise
- learning algorithm