We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
This paper presents an extensive survey of model selection techniques for computer vision applications. A large number of existing model selection criteria...
In this paper we propose a method for selecting an appropriate subset of sensors with a view to minimize estimation error while tracking a target with sensors spread across in a 2...
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
This paper proposes a simple yet effective mechanism to select proper reference frames for H.264 motion estimation. Unlike traditional video codecs, H.264 permits more than one ref...