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A CPHD approximation based on a discrete-Gamma cardinality model
Flavio Eler De Melo, Simon Maskell
Institute of Sensors, Signals & Systems
School of Engineering & Physical Sciences
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Article
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peer-review
16
Citations (Scopus)
61
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INIS
approximations
100%
hypothesis
100%
probability
100%
density
100%
distribution
85%
filters
85%
probabilistic estimation
14%
implementation
14%
algorithms
14%
operation
14%
accuracy
14%
Computer Science
Approximation (Algorithm)
100%
probability hypothesis density
100%
Cardinality
100%
probability hypothesis density filter
80%
Resulting Filter
20%
Computational Complexity
20%
Mathematics
Probability Theory
100%
Cardinality
100%
Bayesian
16%
Probability Distribution
16%
intensity function λ
16%
Variance
16%
Parameter Distribution
16%
Engineering
Cardinality
100%
Bayesian Filtering
20%
Parameter Distribution
20%
Object State
20%
Filtration
20%
Gamma Distribution
20%
Computational Complexity
20%
Intensity Function
20%