Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.
Paul BodesheimAlexander FreytagErik RodnerJoachim DenzlerPublished in: SCIA (2013)
Keyphrases
- visual recognition
- gaussian process
- gaussian processes
- sparse approximations
- image classification
- gaussian process regression
- object recognition
- expectation propagation
- regression model
- model selection
- bayesian framework
- image segmentation
- data mining
- closed form
- approximate inference
- latent variables
- maximum likelihood
- upper bound
- machine learning