A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels.
Fanghui LiuXiaolin HuangLei ShiJie YangJohan A. K. SuykensPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- bayesian framework
- prior knowledge
- posterior probability
- generative model
- feature space
- feature extraction
- bayesian model
- image segmentation
- support vector
- hyperparameters
- expectation maximization
- feature vectors
- feature set
- posterior distribution
- bayesian formulation
- gaussian process
- data sets
- probability density function
- model selection
- high resolution
- training data
- similarity measure
- machine learning