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Random finite sets in Multi-object filtering
Ba Tuong Vo
Research output
:
Thesis
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Doctoral Thesis
908
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Dive into the research topics of 'Random finite sets in Multi-object filtering'. Together they form a unique fingerprint.
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Engineering
Finite Set
100%
Algorithm
45%
Measurement
27%
Random Variable ξ
18%
Bayesian Filtering
18%
Technical Challenge
9%
Filtering Algorithm
9%
Estimation Error
9%
False Alarm
9%
Object State
9%
Dynamic State
9%
Social Sciences
Algorithms
100%
Measurement
50%
Theses
33%
Performance Evaluation
16%
Mathematics
Finite Set
100%
Filtering Problem
36%
Traditional Approach
9%
False Alarm
9%
Computer Science
Random Variable
18%
Observation Set
18%
Posterior Density
18%
And-States
9%
State Space
9%
Traditional Approach
9%
Generalization
9%
Varying Number
9%
Performance Evaluation
9%
Estimation Error
9%
Technical Challenge
9%
Formal Theory
9%
Simulated Scenario
9%
Economics, Econometrics and Finance
Bayesian
33%