An Asynchronous Consensus-Based Algorithm for Estimation From Noisy Relative Measurements.
Andrea CarronMarco TodescatoRuggero CarliLuca SchenatoPublished in: IEEE Trans. Control. Netw. Syst. (2014)
Keyphrases
- estimation algorithm
- detection algorithm
- cost function
- learning algorithm
- high accuracy
- computational complexity
- optimization algorithm
- input data
- estimation accuracy
- improved algorithm
- matching algorithm
- times faster
- noisy data
- space complexity
- dynamic programming
- k means
- search space
- preprocessing
- search algorithm
- convergence rate
- measurement noise
- measurement error
- monte carlo
- computationally efficient
- expectation maximization
- linear programming
- simulated annealing
- probabilistic model
- np hard
- optimal solution
- similarity measure