Manifold Gaussian Processes for regression.
Roberto CalandraJan PetersCarl Edward RasmussenMarc Peter DeisenrothPublished in: IJCNN (2016)
Keyphrases
- gaussian processes
- gaussian process
- covariance function
- gaussian process regression
- ordinal regression
- relevance vector machine
- multi task learning
- low dimensional
- regression model
- hyperparameters
- preference learning
- model selection
- gaussian process models
- human pose estimation
- high dimensional
- upper bound
- image segmentation