Kernel function impact on convolutional neural networks.
M. Amine MahmoudiAladine ChetouaniFatma BouferaHedi TabiaPublished in: CoRR (2023)
Keyphrases
- kernel function
- convolutional neural networks
- support vector
- kernel methods
- input space
- support vector machine
- feature space
- convolutional network
- kernel matrix
- support vector regression
- kernel learning
- high dimensional feature space
- high dimensional
- kernel parameters
- positive definite
- gaussian kernels
- linear combination
- kernel matrices
- hyperplane
- reproducing kernel hilbert space
- kernel trick
- dot product
- support vectors
- polynomial kernels
- svm classification
- kernel machines
- neural network
- missing data
- low dimensional
- data points
- multiscale