Exploiting linear substructure in linear regression Kalman filters.
Marcus GreiffAnders RobertssonKarl BerntorpPublished in: CDC (2020)
Keyphrases
- linear regression
- kalman filter
- nonlinear regression
- linear models
- least squares
- kalman filtering
- regression problems
- regression methods
- object tracking
- linear regression model
- particle filter
- locally weighted
- state estimation
- ridge regression
- square loss
- linear model
- global motion
- rao blackwellized particle filter
- regression trees
- particle filtering
- graph cuts
- state space
- regression method
- nearest neighbor
- training set
- three dimensional
- decision trees
- machine learning