Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
Qinghua TaoFrancesco ToninAlex LambertYingyi ChenPanagiotis PatrinosJohan A. K. SuykensPublished in: CoRR (2024)
Keyphrases
- prior knowledge
- learning algorithm
- feature space
- component analysis
- objective function
- learning tasks
- training samples
- support vector machine
- pairwise
- least squares
- supervised learning
- input data
- k means
- kernel function
- covariance matrix
- kernel methods
- high dimensional
- estimation algorithm
- covariance matrices
- kernel matrix