Kernelized Cumulants: Beyond Kernel Mean Embeddings.
Patric BonnierHarald OberhauserZoltán SzabóPublished in: CoRR (2023)
Keyphrases
- kernel function
- kernel trick
- hilbert space
- dimensionality reduction
- kernel methods
- feature space
- high dimensional
- support vector
- high dimensional feature space
- input space
- fourth order
- kernel matrix
- support vector machine
- low dimensional
- higher order statistics
- convolution kernel
- manifold learning
- machine learning
- learning vector quantization
- vector space
- kernel regression
- kernel pca
- kernel machines
- reproducing kernel hilbert space
- multiple kernel learning
- blind source separation
- fuzzy clustering
- similarity function
- training set
- high dimensional data