An E-M algorithm for joint model estimation.
Paul M. BaggenstossTod LuginbuhlPublished in: ICASSP (1999)
Keyphrases
- mathematical model
- parameter estimation
- estimation algorithm
- theoretical analysis
- probabilistic model
- monte carlo simulation
- algorithm has been developed
- algorithm employs
- np hard
- learning algorithm
- recognition algorithm
- bayesian framework
- objective function
- cost function
- optimization model
- dynamic programming
- final result
- model fitting
- computational complexity
- selection algorithm
- input data
- estimation process
- estimation accuracy
- linear model
- optimization method
- expectation maximization
- em algorithm
- optimization algorithm
- linear programming
- classification algorithm
- particle swarm optimization
- map estimation
- optimal solution
- preprocessing
- matching algorithm
- detection algorithm
- probability distribution
- convergence rate
- significant improvement
- segmentation algorithm
- simulated annealing
- model selection
- prior information
- multiple models
- tree structure
- kalman filter