Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality.
Ning NingEdward L. IonidesPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- particle filter
- parameter learning
- high dimensional
- bayesian networks
- structure learning
- statistical learning
- conditional random fields
- generative model
- maximum likelihood
- visual tracking
- particle filtering
- mean shift
- low dimensional
- em algorithm
- state space
- markov random field
- parameter estimation
- approximate inference
- dimensionality reduction
- data points
- high dimensional data
- bayesian inference
- computer vision
- feature space
- parameter space
- similarity measure
- graphical models
- hidden variables
- prior knowledge
- manifold learning
- least squares
- expectation maximization