A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering.
Gaël BeckTarn DuongMustapha LebbahHanane AzzagChristophe CérinPublished in: CoRR (2019)
Keyphrases
- mean shift
- k means
- mode seeking
- clustering method
- target tracking
- optimal solution
- dynamic programming
- nearest neighbor
- color image segmentation
- learning algorithm
- similarity measure
- kalman filter
- sampling procedure
- image segmentation algorithm
- kernel density estimation
- riemannian manifolds
- em algorithm
- graph cuts
- clustering algorithm
- machine learning
- spectral clustering
- convergence rate
- density function
- segmentation algorithm
- nonnegative matrix factorization
- particle filter
- region merging
- knn
- object location
- image segmentation
- kernel density
- visual object tracking