Fast High-Dimensional Kernel Filtering.
Pravin NairKunal Narayan ChaudhuryPublished in: IEEE Signal Process. Lett. (2019)
Keyphrases
- high dimensional
- kernel function
- kernel space
- feature space
- additive models
- input space
- low dimensional
- dimensionality reduction
- kernel methods
- high dimensional feature space
- high dimensional data
- similarity search
- kernel matrix
- high dimensionality
- adaptive filtering
- sparse data
- kernel principal component analysis
- multiple kernel learning
- filtering algorithm
- metric space
- multi dimensional
- support vector
- information filtering
- median filter
- data points
- high dimensional problems
- multiscale
- feature extraction
- manifold learning
- hyperplane
- linear classifiers
- machine learning
- similarity function
- microarray data
- high dimension
- nearest neighbor