Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
HECATAEUS is an open-source software tool for enabling impact prediction, what-if analysis, and regulation of relational database schema evolution. We follow a graph theoretic appr...
George Papastefanatos, Panos Vassiliadis, Alkis Si...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Abstract. We apply three different modeling frameworks -- timed automata (Uppaal), colored Petri nets and synchronous data flow -- to model a challenging industrial case study that...
Georgeta Igna, Venkatesh Kannan, Yang Yang, Twan B...