JGPR: a computationally efficient multi-target Gaussian process regression algorithm.
Mohammad NabatiSeyed Ali GhorashiReza ShahbazianPublished in: Mach. Learn. (2022)
Keyphrases
- gaussian process
- regression algorithm
- multi target
- semi supervised
- multi target tracking
- latent variables
- multi camera
- labeled data
- visual tracking
- regression model
- pairwise
- model selection
- learning algorithm
- bayesian framework
- multi view
- supervised learning
- data association
- unlabeled data
- active learning
- training examples
- multiple targets
- computational complexity
- hyperparameters
- similarity measure
- data sets