Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models
Crown The generalized labeled multi-Bernoulli (GLMB) is a family of tractable models that alleviates the limitations of the Poisson family in dynamic Bayesian inference of point processes. In this paper, we derive closed form expressions for the void probability functional and the Cauchy-Schwarz div...
| Main Authors: | Beard, Michael, Vo, Ba Tuong, Vo, Ba-Ngu, Arulampalam, S. |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE
2017
|
| Online Access: | http://purl.org/au-research/grants/arc/DP130104404 http://hdl.handle.net/20.500.11937/56063 |
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