Kernelized Cumulants: Beyond Kernel Mean Embeddings.
Patric BonnierHarald OberhauserZoltán SzabóPublished in: NeurIPS (2023)
Keyphrases
- kernel function
- kernel trick
- support vector
- hilbert space
- kernel methods
- support vector machine
- dimensionality reduction
- low dimensional
- feature space
- input space
- kernel matrix
- fuzzy clustering
- fourth order
- manifold learning
- high dimensional feature space
- kernel pca
- kernel machines
- learning vector quantization
- reproducing kernel hilbert space
- euclidean space
- convolution kernel
- higher order statistics
- data sets
- dimensionality reduction methods
- vector space
- sparse representation
- distance measure
- machine learning
- neural network