Closed-form optimization of covariance intersection for low-dimensional matrices.
Marc ReinhardtBenjamin NoackUwe D. HanebeckPublished in: FUSION (2012)
Keyphrases
- closed form
- low dimensional
- high dimensional
- dimensionality reduction
- iterative procedure
- covariance matrices
- point correspondences
- principal component analysis
- closed form solutions
- covariance matrix
- manifold learning
- input space
- closed form expressions
- maximum likelihood
- gaussian mixture
- high dimensional data
- multiscale
- transformation parameters
- similarity measure