A time-varying Newton algorithm for adaptive subspace tracking.
Markus BaumannUwe HelmkePublished in: Math. Comput. Simul. (2008)
Keyphrases
- detection algorithm
- cost function
- learning algorithm
- preprocessing
- kalman filter
- computational cost
- dynamic programming
- input data
- recognition algorithm
- real time
- evolutionary algorithm
- convergence rate
- worst case
- computational complexity
- objective function
- object tracking algorithm
- moving target
- tracking accuracy
- matching algorithm
- optimization algorithm
- linear programming
- dimensionality reduction
- probabilistic model
- mobile robot
- k means
- search space
- image segmentation