Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices.
Emmanuel ChevallierEmmanuel K. KalungaJesús AnguloPublished in: SIAM J. Imaging Sci. (2017)
Keyphrases
- kernel density estimation
- gaussian distribution
- covariance matrices
- riemannian manifolds
- mean shift
- probability density function
- gaussian mixture model
- density estimation
- maximum likelihood
- density function
- object segmentation
- expectation maximization
- probability density
- higher dimensional
- kl divergence
- euclidean space
- mixture model
- parameter estimation
- unsupervised learning
- knn
- pairwise