This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
—We investigate the design of a clean-slate control and nt plane for data networks using the abstraction of 4D architecture, utilizing and extending 4D’s concept of logically c...
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
—This paper investigates the closed-loop properties of multivariable (MIMO1 ) linear systems where the sensed information is centralized and coded on the basis of a ∆-modulatio...
Jonathan Jaglin, Carlos Canudas de Wit, Cyrille Si...
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...