Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation.
Alessandro Di MartinoErik BodinCarl Henrik EkNeill D. F. CampbellPublished in: ACCV (4) (2018)
Keyphrases
- generative model
- gaussian process
- deep belief networks
- bayesian framework
- semi supervised
- probabilistic model
- hyperparameters
- approximate inference
- em algorithm
- latent variables
- prior knowledge
- posterior probability
- expectation maximization
- pairwise
- model selection
- conditional probabilities
- sparse coding
- unsupervised learning
- conditional random fields
- regression model
- topic models
- labeled data
- computer vision
- natural images
- maximum likelihood
- posterior distribution
- object recognition
- support vector
- image processing