Abstract. We consider the problem of estimating vector-valued variables from noisy "relative" measurements. The measurement model can be expressed in terms of a graph, wh...
Prabir Barooah, Neimar Machado da Silva, Joã...
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
We present tensor scale descriptor (TSD)— a shape descriptor for content-based image retrieval, registration, and analysis. TSD exploits the notion of local structure thickness,...
Paulo A. V. Miranda, Ricardo da Silva Torres, Alex...
— Camera sensors constitute an information rich sensing modality with many potential applications in sensor networks. Their effectiveness in a sensor network setting however grea...
Andrew Barton-Sweeney, Dimitrios Lymberopoulos, An...
— We address the problem of placing a sensor network so as to minimize the uncertainty in estimating the position of targets. The novelty of our formulation is in the sensing mod...