Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering.
Minsik LeeJieun LeeHyeogjin LeeNojun KwakPublished in: CVPR (2015)
Keyphrases
- subspace clustering
- affinity matrix
- low rank
- high dimensional data
- high dimensional
- clustering method
- kernel matrix
- clustering algorithm
- convex optimization
- linear combination
- missing data
- spectral clustering
- low dimensional
- dimensionality reduction
- high dimensionality
- high order
- sparse representation
- semi supervised
- nearest neighbor
- data analysis
- linear subspace
- manifold structure
- eigendecomposition
- data sets
- singular value decomposition
- pairwise
- matrix factorization
- pattern recognition
- training data
- latent space
- computer vision