Transfer dimensionality reduction by Gaussian process in parallel.
Bin TongJunbin GaoThach Huy NguyenHao ShaoEinoshin SuzukiPublished in: Knowl. Inf. Syst. (2014)
Keyphrases
- gaussian process
- dimensionality reduction
- gaussian processes
- gaussian process regression
- bayesian framework
- regression model
- model selection
- approximate inference
- hyperparameters
- semi supervised
- high dimensional data
- latent variables
- expectation propagation
- gaussian process models
- gaussian process classification
- principal component analysis
- covariance function
- feature extraction
- transfer learning
- low dimensional
- high dimensional
- feature space
- bayesian inference
- data points
- latent space
- probabilistic model
- closed form
- expectation maximization
- higher order
- kernel learning
- similarity measure
- face recognition