P-SFA: Probability based Sigmoid Function Approximation for Low-complexity Hardware Implementation.
Linyu WeiJueping CaiVantruong NguyenJie ChuKailin WenPublished in: Microprocess. Microsystems (2020)
Keyphrases
- low complexity
- function approximation
- hardware implementation
- reinforcement learning
- signal processing
- motion estimation
- efficient implementation
- computational complexity
- temporal difference learning algorithms
- temporal difference
- radial basis function
- learning tasks
- activation function
- field programmable gate array
- probability distribution
- function approximators
- distributed video coding
- mode decision
- active learning
- optical flow
- machine learning
- data mining