Performance Evaluation of an IoT-Based E-Learning Testbed Using Mean-Shift Clustering Approach Considering Theta Type of Brain Waves.
Masafumi YamadaMiralda CukaYi LiuTetsuya OdaKeita MatsuoLeonard BarolliPublished in: INCoS (2017)
Keyphrases
- mean shift
- mode seeking
- e learning
- object tracking
- visual tracking
- feature space
- graph cuts
- bilateral filtering
- kernel density
- human brain
- color image segmentation
- k means
- particle filter
- image segmentation algorithm
- sift features
- density function
- kernel density estimation
- clustering algorithm
- clustering method
- target tracking
- normalized cut
- object localisation
- soft clustering
- outlier detection
- sampling procedure
- visual object tracking
- riemannian manifolds
- color histogram
- region merging
- kullback leibler divergence
- graph partitioning
- spectral clustering
- document clustering
- higher order
- high dimensional
- image processing