Secrets of GrabCut and Kernel K-Means.
Meng TangIsmail Ben AyedDmitrii MarinYuri BoykovPublished in: ICCV (2015)
Keyphrases
- k means
- clustering algorithm
- graph cuts
- kernel function
- feature space
- clustering method
- data clustering
- squared euclidean distance
- kernel based clustering
- support vector
- spectral clustering
- unsupervised clustering
- normalized cut
- data sets
- hierarchical clustering
- cluster analysis
- expectation maximization
- mutual subspace method
- convolution kernel
- kernel pca
- kernel machines
- hidden markov random fields
- object segmentation
- kernel methods
- reproducing kernel hilbert space
- kernel learning
- interactive image segmentation
- kernel matrix
- rough k means
- fuzzy clustering algorithm
- kernel regression
- search engine optimization
- multiple kernel learning
- sensitive information
- document clustering
- feature selection