Probabilistic Deep Ordinal Regression Based on Gaussian Processes.
Yanzhu LiuFan WangAdams Wai-Kin KongPublished in: ICCV (2019)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- covariance function
- multitask learning
- ordinal regression
- regression model
- human pose estimation
- hyperparameters
- relevance vector machine
- multi task learning
- bayesian framework
- multi task
- gaussian process models
- latent variables
- generative model
- model selection
- bayesian networks
- preference learning
- semi supervised
- pairwise
- noisy images
- learning problems
- cross validation
- text classification
- k means