An IIR parallel-type adaptive algorithm using the fast least squares method.
Kaoru KurosawaShigeo TsujiiPublished in: IEEE Trans. Acoust. Speech Signal Process. (1989)
Keyphrases
- dynamic programming
- parallel implementation
- improved algorithm
- high accuracy
- cost function
- computational cost
- least squares
- computational complexity
- k means
- segmentation algorithm
- detection algorithm
- optimization algorithm
- preprocessing
- significant improvement
- classification algorithm
- computationally efficient
- synthetic and real images
- estimation algorithm
- objective function
- tree structure
- matching algorithm
- clustering method
- detection method
- selection algorithm
- experimental evaluation
- optimization method
- segmentation method
- levenberg marquardt
- adaptive threshold
- similarity measure
- parameter estimation
- support vector machine svm
- theoretical analysis
- learning algorithm
- sparse linear
- curve fitting
- input data
- classification method
- convergence rate
- recognition algorithm
- support vector machine
- em algorithm
- sparse matrix
- parallel version
- optimal solution
- energy function
- recursive least squares
- mesh refinement
- approximation methods
- robust estimation
- evolutionary algorithm
- probabilistic model
- motion estimation
- expectation maximization