We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is prese...
This paper presents an approach for reducing the test data volume that has to be stored in ATE vector memory for IC manufacturing testing. We exploit the capabilities of present A...
Harald P. E. Vranken, Friedrich Hapke, Soenke Rogg...
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
— We present a method for reconstructing 3D models of tree branch structure from laser range data. Our approach is probabilistic, and uses a generative model of a tree to guide a...
Abstract. Poor quality data may be detected and corrected by performing various quality assurance activities that rely on techniques with different efficacy and cost. In this pape...
Lei Jiang, Daniele Barone, Alexander Borgida, John...