Analysis of Different Feature Selection Criteria Based on a Covariance Convergence Perspective for a SLAM Algorithm.
Fernando Alfredo Auat CheeínRicardo O. CarelliPublished in: Sensors (2011)
Keyphrases
- selection criteria
- cost function
- dynamic programming
- learning algorithm
- faster convergence
- detection algorithm
- optimization algorithm
- expectation maximization
- simulated annealing
- neural network
- probabilistic model
- convergence rate
- kalman filter
- k means
- stochastic approximation
- high accuracy
- worst case
- iterative algorithms
- optimal solution
- global convergence
- convergence theorem