A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations.
Xuan SunJianyuan GuoYong QinXuanchuan ZhengShifeng XiongJie HeQi SunLimin JiaPublished in: Entropy (2024)
Keyphrases
- expectation maximization
- probabilistic model
- generative model
- em algorithm
- data driven
- high resolution
- bayesian networks
- moving objects
- spatio temporal
- three dimensional
- imprecise probabilities
- parameter estimation
- moving points
- continuously moving
- probabilistic logic
- maximum likelihood estimation
- gaussian mixture model
- spatial data
- missing data
- maximum a posteriori
- bayesian framework
- posterior probability
- team members
- compressive sensing
- trajectory data
- minimum message length
- mixture model
- maximum likelihood