Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Long-term exposures to high ozone concentrations have harmful effect on the crops and reduce the yield. The exposures are measured in terms of AOT40 (Accumulated exposure Over Thre...
Tzvetan Ostromsky, Ivan Dimov, Ilia Tzvetanov, Zah...