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Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In interval comp...
Abstract—Triangulation serves as the basis for many geometrybased algorithms in wireless sensor networks. In this paper we propose a distributed algorithm that produces a triangu...
Hongyu Zhou, Hongyi Wu, Su Xia, Miao Jin, Ning Din...
The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
Measurement errors make power analysis attacks difficult to mount when only a single power trace is available: the statistical methods that make DPA attacks so successful are not a...
Yossef Oren, Mario Kirschbaum, Thomas Popp, Avisha...
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...