Minimum-disturbance description for the development of adaptation algorithms and a new leakage least squares algorithm.
Fabiano T. CastoldiMarcello L. R. de CamposPublished in: ICASSP (2009)
Keyphrases
- worst case
- learning algorithm
- least squares
- computational complexity
- times faster
- computationally efficient
- related algorithms
- computational cost
- single pass
- convergence rate
- levenberg marquardt
- significant improvement
- preprocessing
- algorithms require
- benchmark problems
- computational efficiency
- empirical analyses
- optimization algorithm
- theoretical analysis
- image processing algorithms
- synthetic and real datasets
- k means
- np hard
- space complexity
- detection algorithm
- noisy data
- dynamic programming
- square error
- objective function
- expectation maximization
- optimal solution
- evolutionary algorithm
- cost function
- state space
- decision trees
- nonlinear least squares
- incremental algorithms
- search space
- iterative algorithms
- matching algorithm
- filtering algorithm
- optimization problems
- linear programming
- solution quality
- hybrid algorithm
- segmentation algorithm
- ant colony optimization