Incremental Kernel Principal Components Subspace Inference With Nyström Approximation for Bayesian Deep Learning.
Yongguang WangShuzhen YaoTian XuPublished in: IEEE Access (2021)
Keyphrases
- principal components
- deep learning
- kernel space
- principal component analysis
- eigendecomposition
- bayesian networks
- dimensionality reduction
- kernel matrix
- kernel principal component analysis
- unsupervised learning
- covariance matrix
- principal component regression
- feature space
- machine learning
- kernel function
- kernel pca
- kernel methods
- spectral clustering
- mental models
- manifold learning
- maximum likelihood
- dimension reduction
- low dimensional
- neural network
- model selection
- higher order
- pattern recognition
- face recognition
- data mining