A Model Reference Type Algorithm Using Importance Resampling.
Emanuel Florentin OlariuPublished in: SYNASC (2012)
Keyphrases
- probabilistic model
- mathematical model
- optimization model
- theoretical analysis
- learning algorithm
- similarity measure
- objective function
- hyper graph
- algorithm employs
- recognition algorithm
- input data
- cost function
- np hard
- closed form
- preprocessing
- computational complexity
- estimation algorithm
- em algorithm
- kalman filter
- times faster
- prior information
- detection algorithm
- algorithm has been developed
- experimental evaluation
- dynamic programming
- expectation maximization
- selection algorithm
- optimization algorithm
- final result
- optimal solution
- tree structure
- improved algorithm
- model free
- bayesian framework
- classification algorithm
- k means
- energy function
- computational model
- parameter estimation
- high accuracy
- markov model
- neural network
- computational cost
- hidden markov models
- multiple models
- importance sampling
- reconstruction method
- probability distribution
- worst case
- matching algorithm
- simulated annealing
- graph cuts
- significant improvement
- simulation study
- monte carlo