Event-driven Gaussian process for object localization in wireless sensor networks.
Jae Hyun YooWoojin KimH. Jin KimPublished in: IROS (2011)
Keyphrases
- particle filter
- gaussian process
- event driven
- gaussian processes
- hyperparameters
- bayesian inference
- gaussian process regression
- regression model
- approximate inference
- latent variables
- semi supervised
- bayesian framework
- model selection
- gaussian process classification
- gaussian process models
- d objects
- expectation propagation
- covariance function
- sparse approximations
- support vector
- real time
- probabilistic model
- text mining
- pairwise
- training data
- clustering algorithm