The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Event structures have been used for giving true concurrent semantics to languages and models of concurrency such as CCS, Petri nets and graph grammars. Although certain nominal cal...
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Modern User Interfaces (UI) must deal with the increasing complexity of applications in terms of functionality as well as new properties as plasticity. The plasticity of a UI deno...
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh