—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
This paper describes a comprehensive experimental evaluation of a two-handed free-form surface editor called THRED, which uses a pair of Polhemus 3D trackers with added buttons in...
This work analyses the accuracy of estimating the location of 3D landmarks and characteristic image structures. Based on nonlinear estimation theory we study the minimal stochastic...