Associative morphological memories based on variations of the kernel and dual kernel methods.
Peter SussnerPublished in: Neural Networks (2003)
Keyphrases
- kernel methods
- associative memory
- kernel function
- kernel matrix
- learning problems
- support vector
- feature space
- kernel parameters
- similarity function
- gaussian kernel
- kernel pca
- learning tasks
- kernel ridge regression
- multiple kernel learning
- kernel trick
- kernel matrices
- multiple kernel
- support vector machine
- kernel learning
- machine learning
- reproducing kernel hilbert space
- image processing
- graph kernels
- kernel principal component analysis
- mercer kernel
- positive semidefinite
- classification accuracy
- tree kernels
- support vectors
- input space
- high dimensional
- reproducing kernel