Jake Gemerek

Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors

Bayesian nonparametric models, such as the Dirichlet Process Gaussian Process (DPGP), have been shown very effective at learning models of dynamic targets exclusively from data. Previous work on batch DPGP learning and inference, however, ceases to be efficient in multi-sensor applications that requ…