Unsupervised Learning of Sampling Distributions for Particle Filters.
Fernando GamaNicolas ZilbersteinMartin SevillaRichard G. BaraniukSantiago SegarraPublished in: IEEE Trans. Signal Process. (2023)
Keyphrases
- particle filter
- proposal distribution
- unsupervised learning
- sequential monte carlo
- monte carlo
- particle filtering
- importance sampling
- visual tracking
- object tracking
- markov chain monte carlo
- motion model
- density function
- state space
- appearance model
- likelihood function
- supervised learning
- kalman filter
- bayesian filtering
- state estimation
- mean shift
- multiple object tracking
- simultaneous localization and mapping
- feature tracking
- high dimensional state space
- semi supervised
- probability distribution
- data association
- estimation problems
- abrupt motion
- quasi monte carlo
- reinforcement learning
- robust tracking
- bayesian filtering framework
- observation model
- machine learning
- posterior distribution
- sample size
- feature selection
- bayesian inference
- dimensionality reduction
- object recognition
- random sampling
- expectation maximization
- markov chain
- text classification
- optical flow
- search algorithm