Kernel least mean square based on conjugate gradient.
Siyuan PengZongze WuWentao MaBadong ChenPublished in: ICASSP (2017)
Keyphrases
- conjugate gradient
- least mean square
- reproducing kernel hilbert space
- kernel machines
- step size
- convergence rate
- adaptive filtering
- faster convergence
- training algorithm
- kernel methods
- kernel function
- loss function
- levenberg marquardt
- maximum likelihood estimation
- support vector
- real valued
- error diffusion
- convergence speed
- multiple kernel learning
- density estimation
- neural network
- distance measure
- feature space
- training process
- input space
- back propagation
- support vector machine
- multiscale
- face recognition
- learning algorithm