Tracking disease outbreaks from sparse data with Bayesian inference.
Bryan WilderMichael J. MinaMilind TambePublished in: CoRR (2020)
Keyphrases
- bayesian inference
- sparse data
- particle filter
- disease outbreaks
- high dimensional
- probabilistic model
- prior information
- object tracking
- appearance model
- state space
- health care
- feature space
- data sets
- event detection
- mean shift
- disease surveillance
- data cube
- maximum likelihood
- video sequences
- feature extraction
- data mining