A Loosely Coupled and Distributed Bayesian Framework for Multi-context Recognition in Dynamic Ubiquitous Environments.
Arun Kishore RamakrishnanDavy PreuveneersYolande BerbersPublished in: UIC/ATC (2013)
Keyphrases
- loosely coupled
- bayesian framework
- ubiquitous environments
- highly distributed
- distributed systems
- prior knowledge
- tightly coupled
- generative model
- publish subscribe
- bayesian formulation
- web services
- posterior probability
- service oriented architecture
- web service technology
- smart home
- gaussian process
- posterior distribution
- probability density function
- maximum a posteriori
- context aware
- service oriented
- fully distributed
- case study
- computing environments
- data sets
- distributed environment
- human activities
- graph cuts
- low cost
- multi agent
- image processing