Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels.
Simon HeiligMaximilian MünchFrank-Michael SchleifPublished in: IJCNN (2022)
Keyphrases
- non stationary
- memory efficient
- covariance function
- kernel function
- polynomial kernels
- kernel methods
- gram matrix
- positive definite
- multiple kernel learning
- multiple kernel
- support vector
- kernel learning
- reproducing kernel hilbert space
- gaussian processes
- convolution kernel
- adaptive algorithms
- kernel machines
- feature space
- external memory
- gaussian kernels
- iterative deepening
- gaussian kernel
- positive semidefinite
- kernel matrices
- integral image
- dot product
- blind source separation
- tree kernels
- string kernels
- autoregressive
- temporal evolution
- financial time series
- multi dimensional
- rbf kernel
- biomedical signals
- empirical mode decomposition
- support vector machine
- kernel pca
- feature extraction
- kernel matrix