Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks.
Longwen HuangSi WuPublished in: ISNN (1) (2010)
Keyphrases
- neuronal networks
- particle filter
- random noise
- real time
- signal to noise ratio
- target tracking
- neural network
- statistically independent
- deformable objects
- motion tracking
- moving target
- noisy data
- kalman filter
- motion model
- motion segmentation
- particle filtering
- noise level
- motion analysis
- kalman filtering
- visual tracking
- noisy environments
- appearance model
- missing data