Error estimates for the kernel gain function approximation in the feedback particle filter.
Amirhossein TaghvaeiPrashant G. MehtaSean P. MeynPublished in: ACC (2017)
Keyphrases
- function approximation
- particle filter
- error estimates
- error estimation
- reinforcement learning
- cross validation
- visual tracking
- object tracking
- state space
- particle filtering
- radial basis function
- monte carlo
- learning tasks
- support vector
- mean shift
- appearance model
- kalman filter
- error analysis
- rao blackwellized particle filter
- kernel function
- importance sampling
- neural network
- provably correct
- kernel methods
- multiple objects
- observation model
- image features
- upper bound
- knn
- dynamic programming
- pairwise