On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm.
Ery Arias-CastroDavid MasonBruno PelletierPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- mean shift
- density function
- target tracking
- kalman filter
- kernel density
- dynamic programming
- learning algorithm
- mode seeking
- search space
- kernel density estimation
- color image segmentation
- graph cuts
- object location
- computer vision
- object localisation
- sampling procedure
- convergence rate
- visual tracking
- k means
- optimal solution
- optimization method
- object tracking
- density estimation
- segmentation method
- maximum likelihood estimation
- segmentation algorithm
- riemannian manifolds
- maximum likelihood
- denoising
- image segmentation algorithm
- feature space
- feature extraction
- uni modal
- machine learning