Nesting Particle Filters for Experimental Design in Dynamical Systems.
Sahel IqbalAdrien CorenflosSimo SärkkäHany AbdulsamadPublished in: CoRR (2024)
Keyphrases
- dynamical systems
- experimental design
- particle filter
- state space
- object tracking
- particle filtering
- visual tracking
- dynamical models
- active learning
- dynamic systems
- empirical studies
- kalman filter
- sample size
- mean shift
- monte carlo
- appearance model
- nonlinear dynamical systems
- dynamic programming
- motion model
- reinforcement learning
- multiple objects
- markov chain
- partially observable markov decision processes
- predictive state representations
- feature selection
- human body
- moving objects
- game play
- class imbalance
- lower bound
- robust tracking
- video sequences