Gaussian Process Density Counting from Weak Supervision.
Matthias von BorstelMelih KandemirPhilip SchmidtMadhavi K. RaoKumar T. RajamaniFred A. HamprechtPublished in: ECCV (1) (2016)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- model selection
- bayesian framework
- gaussian process regression
- semi supervised
- approximate inference
- gaussian process classification
- gaussian process models
- covariance function
- latent variables
- expectation propagation
- dynamical model
- hyperparameters
- marginal likelihood
- sparse approximations
- prior knowledge
- data mining