Unsupervised Spatio-Temporal Segmentation with Sparse Spectral-Clustering.
Mahsa GhafarianzadehMatthew B. BlaschkoGabe SibleyPublished in: BMVC (2014)
Keyphrases
- spectral clustering
- normalized cut
- spatio temporal
- affinity matrix
- image segmentation
- unsupervised clustering
- low rank representation
- pairwise
- data clustering
- clustering method
- graph partitioning
- eigenvalue decomposition
- segmentation algorithm
- similarity matrix
- image sequences
- segmentation method
- clustering algorithm
- low rank approximation
- spectral methods
- graph laplacian
- eigendecomposition
- evolutionary clustering
- laplacian matrix
- alternative clusterings
- constrained spectral clustering
- negative matrix factorization
- sparse representation
- supervised learning
- k means
- pairwise constraints
- constrained clustering
- mean shift
- subspace clustering
- graph matching
- unsupervised learning
- semi supervised
- high dimensional
- moving objects
- spectral relaxation
- computer vision