Low-complexity approximation to the Kalman filter using convex combinations of adaptive filters from different families.
Raffaello ClaserVítor H. NascimentoPublished in: EUSIPCO (2017)
Keyphrases
- low complexity
- kalman filter
- convex combinations
- update equations
- kalman filtering
- computational complexity
- generalization bounds
- convex hull
- kernel machines
- motion estimation
- particle filter
- object tracking
- distributed video coding
- data dependent
- neural network
- feature extraction
- particle filtering
- multiscale
- reinforcement learning
- mean shift
- em algorithm