Common Visual Pattern Discovery via Nonlinear Mean Shift Clustering.
Linbo WangDong TangYanwen GuoMinh N. DoPublished in: IEEE Trans. Image Process. (2015)
Keyphrases
- mean shift
- pattern discovery
- mode seeking
- pattern mining
- object tracking
- data analysis
- association rule mining
- feature space
- sequential patterns
- particle filter
- graph cuts
- pattern extraction
- recursive partitioning
- recurring patterns
- data mining
- discovering patterns
- image segmentation algorithm
- kernel density estimation
- density function
- clustering algorithm
- normalized cut
- visual object tracking
- soft clustering
- region merging
- sampling procedure
- object localisation
- spectral clustering
- motif discovery
- visual features
- self organizing maps
- spatial information
- data mining techniques
- data points
- k means
- bhattacharyya coefficient
- feature extraction
- riemannian manifolds
- data mining tasks