Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets.
Difeng CaiJames G. NagyYuanzhe XiPublished in: SIAM J. Matrix Anal. Appl. (2022)
Keyphrases
- high dimensional datasets
- kernel matrices
- outlier detection
- high dimensional data
- kernel methods
- high dimensional
- low rank
- kernel matrix
- kernel function
- high dimensionality
- kernel learning
- high dimensional spaces
- linear combination
- concept drift
- active learning
- data sets
- dimensionality reduction
- support vector
- clustering quality
- low rank approximation
- positive semidefinite
- learning algorithm
- text mining
- machine learning
- neural network