Keyphrases
- high dimensional
- kernel function
- kernel space
- feature space
- additive models
- low dimensional
- input space
- dimensionality reduction
- nearest neighbor
- similarity search
- sparse data
- multi dimensional
- kernel methods
- support vector
- data points
- bilateral filter
- filtering algorithm
- high dimensional data
- parameter space
- high dimensionality
- kernel principal component analysis
- high dimensional feature space
- principal component analysis
- convolution kernel
- manifold learning
- microarray data
- kernel matrix
- high dimensional problems
- image filtering
- gaussian kernel
- kernel pca
- high dimensional spaces
- gene expression data
- dimension reduction
- metric space
- sparse coding