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