In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Abstract—In road networks, sensors are deployed sparsely (hundreds of meters apart) to save costs. This makes the existing localization solutions based on the ranging be ineffect...
We introduce a class of anchoritic sensor networks, where communications between sensor nodes are undesirable or infeasible due to, e.g., harsh environments, energy constraints, or...
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The cur...
Abstract. We demonstrate that it is possible to achieve accurate localization and tracking of a target in a randomly placed wireless sensor network composed of inexpensive componen...
Radhika Nagpal, Howard E. Shrobe, Jonathan Bachrac...