A practical approximation algorithm for the LMS line estimator.
David M. MountNathan S. NetanyahuKathleen RomanikRuth SilvermanAngela Y. WuPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- simulated annealing
- estimation algorithm
- np hard
- learning algorithm
- cost function
- high accuracy
- preprocessing
- recognition algorithm
- dynamic programming
- linear programming
- optimization algorithm
- probabilistic model
- energy function
- error bounds
- polygonal approximation
- optimal solution
- objective function
- randomized algorithm
- detection algorithm
- motion estimation
- worst case
- least squares
- computational cost
- experimental evaluation
- significant improvement
- association rules
- computational complexity
- image sequences