Use of distribution mixtures with stochastic identification of multivariant objects
β Scribed by Yu. S. Sysoev; V. V. Krivin; V. G. Beketov
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Weight
- 205 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0543-1972
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π SIMILAR VOLUMES
In this paper we ΓΏrst obtain several results which compare mixtures of distributions in the (increasing) convex and concave stochastic orders. We employ these results to derive relatively weak conditions on the intensity functions of a pair of nonhomogeneous Poisson processes (in fact, on the distri
## Abstract The ability to cluster different perfusion compartments in the brain is critical for analyzing brain perfusion. This study presents a method based on a mixture of multivariate Gaussians (MoMG) and the expectationβmaximization (EM) algorithm to dissect various perfusion compartments from