Semi-Supervised Kernel Mean Shift Clustering.
Saket AnandSushil MittalOncel TuzelPeter MeerPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2014)
Keyphrases
- mean shift
- mode seeking
- semi supervised
- kernel density estimation
- kernel density
- feature space
- normalized cut
- kernel density estimate
- object tracking
- kernel density estimates
- visual tracking
- graph cuts
- unsupervised learning
- density function
- semi supervised learning
- labeled data
- riemannian manifolds
- semi supervised clustering
- spectral clustering
- kernel methods
- clustering method
- clustering algorithm
- nadaraya watson
- particle filter
- kernel regression
- sampling procedure
- active learning
- k means
- color histogram
- bhattacharyya coefficient
- soft clustering
- image segmentation algorithm
- region merging
- object localisation
- pairwise constraints
- kullback leibler divergence
- image processing
- feature selection
- data points
- low dimensional
- manifold learning
- computer vision
- information theoretic