Bias-compensated normalized least mean absolute deviation algorithm with noisy input.
Wentao MaDongqiao ZhengZhiyu ZhangBadong ChenPublished in: FUSION (2017)
Keyphrases
- theoretical analysis
- detection algorithm
- recognition algorithm
- experimental evaluation
- optimization algorithm
- times faster
- input data
- optimal solution
- computational complexity
- dynamic programming
- computational cost
- segmentation algorithm
- high accuracy
- matching algorithm
- ant colony optimization
- clustering method
- learning algorithm
- worst case
- significant improvement
- noisy data
- improved algorithm
- prediction error
- linear programming
- input image
- motion estimation
- np hard
- decision trees
- feature selection