In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized In...
Portable ballot counters using camera technology and manual paper feed are potentially more reliable and less expensive than scanner-based systems. We show that the spatial sampli...
George Nagy, Bryan Clifford, Andrew Berg, Glenn Sa...
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
In this paper we develop algorithms for distributed computation of a broad range of estimation and detection tasks over networks with arbitrary but fixed connectivity. The distri...
— This paper describes an algorithm for generating provably passive reduced-order N-port models for RLC interconnect circuits. It is demonstrated that, in addition to macromodel ...
Altan Odabasioglu, Mustafa Celik, Lawrence T. Pile...